The World of 01 Models: A New Era in AI Coding

The world of AI coding has just taken a significant leap forward with the emergence of 01 models, also known as OpenAI models. These models are indeed fascinating and excel in certain areas, but choosing the right tool for a job depends on the task at hand. In this article, we will delve into the world of 01 models and explore what makes them special.

The 01 Models: Superstars of AI Coding

When it comes to larger-scale projects that require a lot of horsepower, the 01 models are the heavy hitters. These models are like sports cars, built for high-speed coding sprints where every second counts. The 01 mini is an excellent example of this, boasting an impressive 64k output hold on that, just 64,000 tokens. This might not seem like a lot to some, but trust us, it's significant. Imagine building a complex web application with tons of features and bells and whistles, and the 01 mini could potentially generate the entire front-end framework in one shot.

A Word on Output: The Secret Sauce Behind 01 Models

So, what makes these models so good at handling massive projects? It all comes down to their output. The 01 mini's ability to produce such a large amount of code is truly impressive. But with great power comes great complexity, and there are trade-offs to consider. These models can be slower than other models, especially for smaller, simpler tasks. They're like that friend who takes forever to order at a restaurant because they're analyzing every single detail before spitting out their recommendation.

Claude 3.5: The Reliability of a Trusty SUV

For everyday coding tasks, where speed and agility are less important than reliability and trustworthiness, the Claude 3.5 model is an excellent choice. This model excels in tasks like debugging, code completion, and iterative work. It's like having a reliable SUV that can handle all your daily driving needs with ease. Whether you're working on small projects or just need to make some minor adjustments, the Claude 3.5 model has got you covered.

The Seamless Switch: A New Era in AI Model Interchangeability

One of the coolest features about tools like Cursor AI is the ability to switch between models seamlessly. This means that no matter what task you're working on, you always have the right tool for the job. It's like having a Swiss Army knife that can handle any situation with ease.

From Personal Learning to Podcast-Style Audio

But the 01 models aren't just limited to large-scale projects or coding tasks. They can also be used for personal learning, where you want to download and listen to a bunch of information on your air pods. The 01 models are surprisingly comfortable to listen to and can even create podcast-style audio that feels more like an interactive conversation than traditional reading. This is the future of AI voice audio interaction, and it's here now.

The Future of AI Coding: A New Era of Possibilities

In conclusion, the world of 01 models has truly changed the game when it comes to AI coding. With their impressive outputs and seamless interchangeability with other tools, these models are the next level of AI voice audio interaction. Whether you're a seasoned developer or just starting out, there's never been a better time to explore the possibilities of 01 models.

"WEBVTTKind: captionsLanguage: enthere's just a bunch of AI tools popping up everywhere these days so today I thought I could share some of my AI workflows uh I think some of this is just Next Level so I definitely think there is something useful here you can pick up to but before we dive into the workflow I just wanted to show you this AI podcast style interpretation of my content that is just super impressive uh and this is something we will create today and the way we're going to do that is collecting a bunch of information pretty quick and effective and very productive using different AI tools and then we going feed it into this uh notebook LM that is created by Google and then we will get this amazing if you ask me uh audio AI podcast interpretation of the key takeaways from that content so I just want to listen to 30 seconds now and keep in mind while you're listening to this now this is not humans this is AI and I think it's amazing so let's just listen for about 30 seconds before we move on to the workflows pretty wild right like you're coding away and suddenly boom there it is elegant efficient code appearing almost out of thin air it's like magic almost it's not magic but it's getting close cursor AI is all about harnessing that AI power to you know kind of level up your coding game okay that sounds amazing but there's got to be a catch right you're right you can't just like sit back and expect miracles the key here is learning to really communicate effectively with your uh with your AI coding buddy so it's more than just saying WR me some code way more think of it like this you wouldn't just walk walk into a restaurant and tell the chef make me dinner yeah well I mean I might but I get your point right you'd be specifically you know what are you craving what are your dietary needs maybe even you know mention a dish you saw online that got you inspired oh for sure I'd be dropping hints about those truffle fries I saw on Instagram got to be specific exactly and it's the same with AI coding the more I I can't just Express how impressed I am but it's because when you watch the video now this is made up I didn't mention to being in those analogies uh so I'm just so super impressed by this it's so um uh yeah what do you call it humanik I don't know but now let's just show you how I did this so let's just get into it to show off some of my workflows I thought we could just set a topic for today so that's going to be Advanced prompting with cursor AI so sometimes I just start on perplexity I think this is a good AI options you can have the pro version I have the free version at the moment so I'm just going to run a prompt a list of the best tips on Advanced prompting with cural so let me just run this and I just like this I think it's super easy to use uh compared to Google there's a bunch of other Alternatives like search DPT and a lot of different things right so we're just going to do this pretty easy I'm just going to copy this right I'm going to go back so I'm kind of leveraging cursor here in a different way uh I also like to use cursor as a file editor right so let's just say perlex or something like that MD so I'm just going to paste in everything we find here uh for now I think we just remove the citations right and here we have yeah bunch of information but what I like to do I like to use cursor for this so we have to put on cursor tab here so we can actually do some autocomplete uh I'm just going to select the whole thing for perplexity contrl K and here I'm going to do like prompt so I'm just going to do rewrite information in a more structured format and remove any fluff and for writing I like to pick claw 35 Sonet so we're going to do that and when we press enter here now we're going to get like this diff so we can see actually what is changing and you can see here this is brightening this in yeah kind of changing up kind of what we had so I'm going to accept this save it and here we kind of have our first well structured document here with some simple but powerful suggest questions how to use cursor when doing prompting on cursor right so that is kind of one workflow I use a lot uh from perplexity into cursor rewrite and I have kind of the structure here in markdown format uh I like this I think it's super powerful uh so let me show you kind of my second workflow this is a bit different uh here I have created a script that can take uh a YouTube video and turn it into a transcript so uh it's a super easy python script I can share it if you want just let me know in the comment section if you want this uh so let's head over to YouTube I search for all about AI cursor just to use my videos in this video so we can just copy uh let's just copy this video so this is a video I did on cursor we can just go back to my script and here we can kind of paste in the URL right let me save that uh let's clear this test here and we can just run this now so this is going to fetch the video it's going to use whisper to transcribe this into text so we're going to get some unstructured data that we can work more on so let me just finish this one and we're going to store that okay so that was the video transcribed so this was the first video so now I can just grab this transcript here we have in this markdown just want to save it to transcript one right okay so we have done that and I W to clear this I want to go back to my code here and now I want to grab a second video so yeah I think I have a second video here on open AI copy the link go back to my my code here and I'm going to paste in my second URL right we're going to run this again and then I'm going to collect my second transcript right and then we kind of have the unstructured data we want then we're going to move this over to a new AI tool to make some takeaways from it okay so now you can see our second transcription is done so what I'm going to do now is I'm going to grab this I'm going to go into transcription 2 and save it in here so now we have two different transcripts right uh that is kind of unstructured data it's just a transcript from video so what we want to do now or like I do is I go over to chat GPT I'm selecting o1 preview for this so this is the new model right and I create this XML Tex transcript one transcript two so I'm just going to go uh not here but here and grab uh let's it doesn't really matter transcript one and go back to um open AI paste in my first transcript and let's go grab the transcript two right select that and paste that in here and now kind of I have a prompt here I want to use to extract key takeaways from this and that is going to be you can see we have this action so from the transcripts above extract the most important takeaways using cursor with open AI models prompting and use cases so I'm just going to run this now with open AI preview and we can take what we get from 01 preview here bring it over to cursor again to kind of rewrite this into the format we want right okay so you can see open AI to for 17 seconds here are kind of the key takeaways from all of this right okay uh I'm not going to go too much into it now so let's just copy this and let's head back to cursor here right uh let's paste it in and yeah that looks pretty good if you ask me uh but I'm sure there are some wrong uh 01 models okay this looks pretty good it looks like it kind of got the translation between the models pretty good here 01 mini right sometimes it's those like Z1 but this looked pretty good uh but again uh let's do like a quick run down here here uh command control K and I want to do a prompt here in cursor so I actually read some of the content and is very good so I just want to do reduce the number of stars make it a bit more readable don't remove any content so now we kind of want to use CLA 35 Sona to kind of clear up this right a bit so we can get some yeah you can see here we get a bit of a different layout here uh that I think is a bit more easy to read right yeah this looks pretty good so I'm going to accept that I'm going to SA it and yeah I think this is pretty nice uh I guess I kind of want to keep those Stars here I guess something like this right okay so now we have kind of turned both our transcripts into like a super nice effective structured takeaways from those two videos and I read through it and it looks perfect if you ask me so conclusion all1 models have specific strengths while there are not replacement for faster models in all scenarios 01 models are valuable for specific use cases in more large scale coding generation clo 3.5 for daily use for everyday coding needs yeah I just like this very much I think it's a super good um merging uh and takeaways from the both transcripts that were kind of unstructured data right so I'm super happy with this and I kind of think we have all the content we want now uh I think I'm just want to grab maybe one more small thing let me take a look here so I just want to include my uh own prompt guide that I have made so these are 10 tips and some additional tips that I like to use when I'm doing prompting so I'm just going to copy this uh we're going to head back to kind of our uh file here so I'm just going to do I'm just going to do prompt guide I don't know MD right paste it in and save it so now I kind of have everything I wanted here right so we have the prompting guide we have the transcripts we have the perplexity extracted information so I just want to move all of this into this file because I I don't think we need to add so many files here so let me just grab all of this put it into one file and then I want to show you uh notebook LM so now that we have our Advanced prompting with cursor AI file uh I want to go back here I want to go to not notebook lm. gooogle right and here we can click on try notebook LM okay so we're going to create a new notebook so I'm just going to click on create here and this gives us the options now to add different sources so you can do website text uh but of course we are going to choose our markdown file that we have created right so let me just uh grab that okay so you can see now let me zoom in a bit uh we have uploaded our file we get like a text summary here provide explores around advancing promp techniques using cursor AI right and now we can create different stuff here so is the audio overvie overview that I'm most impressed by uh but there are some good things here we can do FAQs we can try that right so now we are creating a note based on this file so this is going to be like a frequently asked questions thing right so you can see cursor AI fq what is the best way to use command K and we get a B bunch of questions and a bunch of answers so this could be very useful right if you need this but what I wanted to do and what I think is so cool is this audio overview so this is uh a lively Deep dive discussions that summarizes the key Topic in your sources this is an experiment feature below are some notes to help you get started right uh okay so this looks pretty interesting so we're just going to generate this audio now so this could take a few minutes sometimes it's like one of my equations was 15 minutes long uh so we're just going to let this cook and we're going to come back uh when this is finished to have a listen to everything we kind of compile compiled into one file now and how will this will sound in an audio format right okay so the audio is done you can see here it's 11 minutes and 12 seconds so what I want to do now is uh let's listen to like 10 seconds then I can download this and I can slap some uh subtitles on and then we can listen to one of two minutes of it just to see how it turned out and just to enjoy the experience of this so let's listen to 10 seconds and then I'm going to take it uh and do some captions on it ever feel like you know you're trying to speak AI but it's like not quite fluent you know what I mean like you know there's more these tools can do but you're just scratching the surface yeah definitely it's a learning curve for sure that that sounds great right I think it's pretty cool uh but like I said uh I'm going to download this and I'm going to stop some captions on it and then just listen to the first two minutes to see how it turned out okay so here we have it so uh yeah you can see put some captions on some nice animation background opacity and now you kind of have a nice podcast so uh if you want to drop out here if you don't want to listen to it I'm just going to listen a few minutes and kind of do my quick takeaways at the end and you feel free to stay if you want to but this is going to be the end of the video if you're interested in hearing how it turned out feel free to stay and we do a quick wrap up of this workflow note LM uh at the end ever feel like you know you're trying to speak AI but it's like not quite fluent you know what I mean like you know there's more these tools can do but you're just scratching the surface yeah definitely it's a learning curve for sure totally and that's what we're diving into today we're talking about cursor AI it's like having this like coding buddy but they also happen to be like this mind melding AI it's pretty wild right like you're coating away and suddenly boom there it is elegant efficient coat appearing almost out of thin air it's like magic almost it's not magic but it's getting close cursor AI is all about harnessing that AI power to you know kind of level up your coding game okay that sounds amazing but there's got to be a catch right you're right you can't just like sit back and expect miracles the key here is learning to really communicate effectively with your uh with your AI coding buddy so it's more than just saying write me some way more think of it like this you wouldn't just walk into a restaurant and tell the chef make me dinner yeah well I mean I might but I get your point right you'd be specifically you know what are you craving what are your dietary needs maybe even you know mention a dish you saw online that got you inspired oh for sure I'd be dropping hints about those truffle fries I saw on Instagram got to be specific exactly and it's the same with AI coding the so I'm just interested to hear now if they get in into remember we fed a lot of information about Advanced prompting with cursor AI so I'm looking forward to see I think they transition into this now this was more kind of like an intro I guess more specific and structured you are with your requests those are called prompts by the way the better the AI can understand what you're after and deliver code that's not just good but exceptional so it's like treating my AI coding buddy like a five-star Chef I can get on board with that but how do I actually become a master at this whole prompting thing well lucky for you that's what we're diving into today we're going to unpack some seriously powerful techniques you can use okay so that was the intro that was pretty cool it seems like the audio is fading a bit but keep let's keep listening like right away even if you're totally new to AI coding we're also going to be comparing different AI models like open ai's 01 models and the ever popular clae but first let's start with one of the most useful tricks I found using XML tags in your prompts XML tags is that like bringing us back to like the early 2000s kind of but trust me they're making a huge comeback in the AI world and for good reason they offer that structure and Clarity that don't mind um the the captions it was a bit rushed I can see now but XML tags that's a good start AI models really crave so how does that actually work okay let's say you're trying to I don't know create a function to calculate the factorial of a number instead of just typing out this long-winded request you could use XML tags to make it super clear like this yeah write a function to calculate the factorial of a given number ah so the AI sees that goal tag and it's like okay I know exactly what they want exactly this is so impressive it's just a perfect way describing this I'm just like mind blown here it's like giving them signposts you know makes your instructions crystal clear and remember our listener today is all about efficiency and that's what good prompting is all about this is giving me some serious like tidy code Vibes but for AI instructions I like it okay what other prompt engineering Secrets can you let me in on okay let's talk about the assign a roll technique it's pretty cool it's based on the idea that by actually giving your AI a specific role you tap into a different level of like expertise okay now I'm really interested give me an example so imagine you're working on this like really complex algorithm you could start your prompt with something like this Ro you're a senior software engineer izing in algorithm optimization so now my AI isn't just any coder they're like the algorithm Whisperer precisely you're setting the context right and that so they are kind of going through what was kind of clearly stated in the information we gathered from all our sources right so it's pretty cool I can hear all but there's not a lot to pick on here if you ask me helps the AI tap into a deeper level of knowledge it can lead to some really impressive results this is blowing my mind it's like I'm giving my AI coding buddy a promotion before they even written a line of code but you know what about those times when I'm feeling like seriously overwhelmed by a project you the AI assistant right that's where our next tip comes in breaking down the goal into smaller more manageable Parts yeah I'm intrigued tell me more about breaking things down so instead of throwing the whole project at your AI buddy at once you're guiding them I'm catching myself like thinking this is a real conversation it's so believable and they have this small um and ah I think that's pretty humanlike right I'm step by step you know you're providing really clear instructions for each stage of the process gotcha so it's like giving them bite-sized pieces of the puzzle instead of the whole jumbled mess all at once exactly and this is especially helpful for those complex tasks right it can really prevent errors and just make the whole thing less overwhelming it's like project management but for AI I'm loving this so we've got C you heard a laughter so he's kind of making this small joke and she's kind of H laughing amazing to AI prompt engineering XML tags role playing this is a whole new world of coding but what about the AI models themselves we've mentioned these open ai1 models a few times what makes them so special and how do they like stack up against other models like so let's listen a bit about what they say about 01 Claude and then we call it claw fantastic question the 01 models they are definitely fascinating and they really excel in certain areas but just like choosing you know the right tool for a job selecting the best AI model really depends on the task at hand so let's uh let's dive into the world of 01 models and see what they bring to the table all right let's dive into those 01 models are we talking like the supercars of the AI coding World they can be for sure especially for those you know larger scale projects the ones that need a lot of horsepower think of the 01 models especially the 01 mini as the heavy lifters the ones you call in when you need to refactor like a massive code base or just generate a ton of code in one go okay so we're talking serious coding muscle here but what makes them so good at handling those massive projects one word output the 01 mini for example it boasts a pretty impressive 64k output hold on 64,000 tokens that doesn't really mean much to me can you give me a real world compar I like that that that was something I emphasized in my videos so I thought it was pretty cool that they brought out up and it's kind of rephrasing the question because oh I didn't get that that was pretty cool right person okay so imagine you're building like a a a complex web application right tons of features all the bells and whistles with that 64k output the 01 mini could potentially generate the entire front end framework in one shot wait this is just amazing I think it's so good the entire front end like everything a user sees and interacts with wow that's like writing I don't know a whole chapter of a book in one sitting but with code yeah it's seriously impressive but I imagine there's got to be some kind of trade-off for all that power right like are they slow or something you're right they can be a tad slower than other models especially for those smaller simpler tasks it's like they're taking their time to really you know mul things over analyze every angle before they spit out that beautifully crafted code so they're like that friend who takes forever to order at a restaurant because they're analyzing every single and here he goes with the restaurant anology again that was a bit funny uh let's just complete this segment and then a quick wrap up item on the menu uhuh yes yeah exactly but then they end up recommending the most amazing dish you've ever tasted okay I can see that but so if I need something quick what then then you might want to go with something like Claude 3.5 which is a fantastic model for you know those day-to-day cating tasks oh I like the pause there like that fantastic daytoday coding test that was good debugging code completion those sorts of things it's also really great for iterative work you know where you're constantly making small changes testing refining so like choosing between a sports car and like a reliable SUV you've got your 01 for those highspeed coding Sprints and then you're clawed for the everyday hustle of navigating through code right exactly and the cool thing that was a bit strange but about tools like cursor AI is that you can often switch between models seamlessly so you always have the the right tool for the job no matter what you're working on again I think this just amazing I love it having your cake and eating it too yeah perfect so uh just a quick wrap up of this I'm super impressed I just see a bunch of use cases for this for uh personal things right if I want to learn something fit a bunch of information download it put it up Spotify put on my air pods just go listen to it it's very comfortable to listen to and it's not just reading exactly what you put in but it's more creating like a podcast script and it's nice to have two people interacting when you listen that is more of like a podcast style right so yeah I think this just is the next level of AI voice audio and kind of interaction between these things so it hasn't got a lot of attention uh I don't know why but I guess all1 stole the show but uh for me this is something I'm going to be using more to to learn stuff and I recommend going trying it out so pretty cool but uh thank you for tuning in thank you for uh yeah listening to me watching my workflows and how I created this so yeah hope you enjoyed it and we speak soonthere's just a bunch of AI tools popping up everywhere these days so today I thought I could share some of my AI workflows uh I think some of this is just Next Level so I definitely think there is something useful here you can pick up to but before we dive into the workflow I just wanted to show you this AI podcast style interpretation of my content that is just super impressive uh and this is something we will create today and the way we're going to do that is collecting a bunch of information pretty quick and effective and very productive using different AI tools and then we going feed it into this uh notebook LM that is created by Google and then we will get this amazing if you ask me uh audio AI podcast interpretation of the key takeaways from that content so I just want to listen to 30 seconds now and keep in mind while you're listening to this now this is not humans this is AI and I think it's amazing so let's just listen for about 30 seconds before we move on to the workflows pretty wild right like you're coding away and suddenly boom there it is elegant efficient code appearing almost out of thin air it's like magic almost it's not magic but it's getting close cursor AI is all about harnessing that AI power to you know kind of level up your coding game okay that sounds amazing but there's got to be a catch right you're right you can't just like sit back and expect miracles the key here is learning to really communicate effectively with your uh with your AI coding buddy so it's more than just saying WR me some code way more think of it like this you wouldn't just walk walk into a restaurant and tell the chef make me dinner yeah well I mean I might but I get your point right you'd be specifically you know what are you craving what are your dietary needs maybe even you know mention a dish you saw online that got you inspired oh for sure I'd be dropping hints about those truffle fries I saw on Instagram got to be specific exactly and it's the same with AI coding the more I I can't just Express how impressed I am but it's because when you watch the video now this is made up I didn't mention to being in those analogies uh so I'm just so super impressed by this it's so um uh yeah what do you call it humanik I don't know but now let's just show you how I did this so let's just get into it to show off some of my workflows I thought we could just set a topic for today so that's going to be Advanced prompting with cursor AI so sometimes I just start on perplexity I think this is a good AI options you can have the pro version I have the free version at the moment so I'm just going to run a prompt a list of the best tips on Advanced prompting with cural so let me just run this and I just like this I think it's super easy to use uh compared to Google there's a bunch of other Alternatives like search DPT and a lot of different things right so we're just going to do this pretty easy I'm just going to copy this right I'm going to go back so I'm kind of leveraging cursor here in a different way uh I also like to use cursor as a file editor right so let's just say perlex or something like that MD so I'm just going to paste in everything we find here uh for now I think we just remove the citations right and here we have yeah bunch of information but what I like to do I like to use cursor for this so we have to put on cursor tab here so we can actually do some autocomplete uh I'm just going to select the whole thing for perplexity contrl K and here I'm going to do like prompt so I'm just going to do rewrite information in a more structured format and remove any fluff and for writing I like to pick claw 35 Sonet so we're going to do that and when we press enter here now we're going to get like this diff so we can see actually what is changing and you can see here this is brightening this in yeah kind of changing up kind of what we had so I'm going to accept this save it and here we kind of have our first well structured document here with some simple but powerful suggest questions how to use cursor when doing prompting on cursor right so that is kind of one workflow I use a lot uh from perplexity into cursor rewrite and I have kind of the structure here in markdown format uh I like this I think it's super powerful uh so let me show you kind of my second workflow this is a bit different uh here I have created a script that can take uh a YouTube video and turn it into a transcript so uh it's a super easy python script I can share it if you want just let me know in the comment section if you want this uh so let's head over to YouTube I search for all about AI cursor just to use my videos in this video so we can just copy uh let's just copy this video so this is a video I did on cursor we can just go back to my script and here we can kind of paste in the URL right let me save that uh let's clear this test here and we can just run this now so this is going to fetch the video it's going to use whisper to transcribe this into text so we're going to get some unstructured data that we can work more on so let me just finish this one and we're going to store that okay so that was the video transcribed so this was the first video so now I can just grab this transcript here we have in this markdown just want to save it to transcript one right okay so we have done that and I W to clear this I want to go back to my code here and now I want to grab a second video so yeah I think I have a second video here on open AI copy the link go back to my my code here and I'm going to paste in my second URL right we're going to run this again and then I'm going to collect my second transcript right and then we kind of have the unstructured data we want then we're going to move this over to a new AI tool to make some takeaways from it okay so now you can see our second transcription is done so what I'm going to do now is I'm going to grab this I'm going to go into transcription 2 and save it in here so now we have two different transcripts right uh that is kind of unstructured data it's just a transcript from video so what we want to do now or like I do is I go over to chat GPT I'm selecting o1 preview for this so this is the new model right and I create this XML Tex transcript one transcript two so I'm just going to go uh not here but here and grab uh let's it doesn't really matter transcript one and go back to um open AI paste in my first transcript and let's go grab the transcript two right select that and paste that in here and now kind of I have a prompt here I want to use to extract key takeaways from this and that is going to be you can see we have this action so from the transcripts above extract the most important takeaways using cursor with open AI models prompting and use cases so I'm just going to run this now with open AI preview and we can take what we get from 01 preview here bring it over to cursor again to kind of rewrite this into the format we want right okay so you can see open AI to for 17 seconds here are kind of the key takeaways from all of this right okay uh I'm not going to go too much into it now so let's just copy this and let's head back to cursor here right uh let's paste it in and yeah that looks pretty good if you ask me uh but I'm sure there are some wrong uh 01 models okay this looks pretty good it looks like it kind of got the translation between the models pretty good here 01 mini right sometimes it's those like Z1 but this looked pretty good uh but again uh let's do like a quick run down here here uh command control K and I want to do a prompt here in cursor so I actually read some of the content and is very good so I just want to do reduce the number of stars make it a bit more readable don't remove any content so now we kind of want to use CLA 35 Sona to kind of clear up this right a bit so we can get some yeah you can see here we get a bit of a different layout here uh that I think is a bit more easy to read right yeah this looks pretty good so I'm going to accept that I'm going to SA it and yeah I think this is pretty nice uh I guess I kind of want to keep those Stars here I guess something like this right okay so now we have kind of turned both our transcripts into like a super nice effective structured takeaways from those two videos and I read through it and it looks perfect if you ask me so conclusion all1 models have specific strengths while there are not replacement for faster models in all scenarios 01 models are valuable for specific use cases in more large scale coding generation clo 3.5 for daily use for everyday coding needs yeah I just like this very much I think it's a super good um merging uh and takeaways from the both transcripts that were kind of unstructured data right so I'm super happy with this and I kind of think we have all the content we want now uh I think I'm just want to grab maybe one more small thing let me take a look here so I just want to include my uh own prompt guide that I have made so these are 10 tips and some additional tips that I like to use when I'm doing prompting so I'm just going to copy this uh we're going to head back to kind of our uh file here so I'm just going to do I'm just going to do prompt guide I don't know MD right paste it in and save it so now I kind of have everything I wanted here right so we have the prompting guide we have the transcripts we have the perplexity extracted information so I just want to move all of this into this file because I I don't think we need to add so many files here so let me just grab all of this put it into one file and then I want to show you uh notebook LM so now that we have our Advanced prompting with cursor AI file uh I want to go back here I want to go to not notebook lm. gooogle right and here we can click on try notebook LM okay so we're going to create a new notebook so I'm just going to click on create here and this gives us the options now to add different sources so you can do website text uh but of course we are going to choose our markdown file that we have created right so let me just uh grab that okay so you can see now let me zoom in a bit uh we have uploaded our file we get like a text summary here provide explores around advancing promp techniques using cursor AI right and now we can create different stuff here so is the audio overvie overview that I'm most impressed by uh but there are some good things here we can do FAQs we can try that right so now we are creating a note based on this file so this is going to be like a frequently asked questions thing right so you can see cursor AI fq what is the best way to use command K and we get a B bunch of questions and a bunch of answers so this could be very useful right if you need this but what I wanted to do and what I think is so cool is this audio overview so this is uh a lively Deep dive discussions that summarizes the key Topic in your sources this is an experiment feature below are some notes to help you get started right uh okay so this looks pretty interesting so we're just going to generate this audio now so this could take a few minutes sometimes it's like one of my equations was 15 minutes long uh so we're just going to let this cook and we're going to come back uh when this is finished to have a listen to everything we kind of compile compiled into one file now and how will this will sound in an audio format right okay so the audio is done you can see here it's 11 minutes and 12 seconds so what I want to do now is uh let's listen to like 10 seconds then I can download this and I can slap some uh subtitles on and then we can listen to one of two minutes of it just to see how it turned out and just to enjoy the experience of this so let's listen to 10 seconds and then I'm going to take it uh and do some captions on it ever feel like you know you're trying to speak AI but it's like not quite fluent you know what I mean like you know there's more these tools can do but you're just scratching the surface yeah definitely it's a learning curve for sure that that sounds great right I think it's pretty cool uh but like I said uh I'm going to download this and I'm going to stop some captions on it and then just listen to the first two minutes to see how it turned out okay so here we have it so uh yeah you can see put some captions on some nice animation background opacity and now you kind of have a nice podcast so uh if you want to drop out here if you don't want to listen to it I'm just going to listen a few minutes and kind of do my quick takeaways at the end and you feel free to stay if you want to but this is going to be the end of the video if you're interested in hearing how it turned out feel free to stay and we do a quick wrap up of this workflow note LM uh at the end ever feel like you know you're trying to speak AI but it's like not quite fluent you know what I mean like you know there's more these tools can do but you're just scratching the surface yeah definitely it's a learning curve for sure totally and that's what we're diving into today we're talking about cursor AI it's like having this like coding buddy but they also happen to be like this mind melding AI it's pretty wild right like you're coating away and suddenly boom there it is elegant efficient coat appearing almost out of thin air it's like magic almost it's not magic but it's getting close cursor AI is all about harnessing that AI power to you know kind of level up your coding game okay that sounds amazing but there's got to be a catch right you're right you can't just like sit back and expect miracles the key here is learning to really communicate effectively with your uh with your AI coding buddy so it's more than just saying write me some way more think of it like this you wouldn't just walk into a restaurant and tell the chef make me dinner yeah well I mean I might but I get your point right you'd be specifically you know what are you craving what are your dietary needs maybe even you know mention a dish you saw online that got you inspired oh for sure I'd be dropping hints about those truffle fries I saw on Instagram got to be specific exactly and it's the same with AI coding the so I'm just interested to hear now if they get in into remember we fed a lot of information about Advanced prompting with cursor AI so I'm looking forward to see I think they transition into this now this was more kind of like an intro I guess more specific and structured you are with your requests those are called prompts by the way the better the AI can understand what you're after and deliver code that's not just good but exceptional so it's like treating my AI coding buddy like a five-star Chef I can get on board with that but how do I actually become a master at this whole prompting thing well lucky for you that's what we're diving into today we're going to unpack some seriously powerful techniques you can use okay so that was the intro that was pretty cool it seems like the audio is fading a bit but keep let's keep listening like right away even if you're totally new to AI coding we're also going to be comparing different AI models like open ai's 01 models and the ever popular clae but first let's start with one of the most useful tricks I found using XML tags in your prompts XML tags is that like bringing us back to like the early 2000s kind of but trust me they're making a huge comeback in the AI world and for good reason they offer that structure and Clarity that don't mind um the the captions it was a bit rushed I can see now but XML tags that's a good start AI models really crave so how does that actually work okay let's say you're trying to I don't know create a function to calculate the factorial of a number instead of just typing out this long-winded request you could use XML tags to make it super clear like this yeah write a function to calculate the factorial of a given number ah so the AI sees that goal tag and it's like okay I know exactly what they want exactly this is so impressive it's just a perfect way describing this I'm just like mind blown here it's like giving them signposts you know makes your instructions crystal clear and remember our listener today is all about efficiency and that's what good prompting is all about this is giving me some serious like tidy code Vibes but for AI instructions I like it okay what other prompt engineering Secrets can you let me in on okay let's talk about the assign a roll technique it's pretty cool it's based on the idea that by actually giving your AI a specific role you tap into a different level of like expertise okay now I'm really interested give me an example so imagine you're working on this like really complex algorithm you could start your prompt with something like this Ro you're a senior software engineer izing in algorithm optimization so now my AI isn't just any coder they're like the algorithm Whisperer precisely you're setting the context right and that so they are kind of going through what was kind of clearly stated in the information we gathered from all our sources right so it's pretty cool I can hear all but there's not a lot to pick on here if you ask me helps the AI tap into a deeper level of knowledge it can lead to some really impressive results this is blowing my mind it's like I'm giving my AI coding buddy a promotion before they even written a line of code but you know what about those times when I'm feeling like seriously overwhelmed by a project you the AI assistant right that's where our next tip comes in breaking down the goal into smaller more manageable Parts yeah I'm intrigued tell me more about breaking things down so instead of throwing the whole project at your AI buddy at once you're guiding them I'm catching myself like thinking this is a real conversation it's so believable and they have this small um and ah I think that's pretty humanlike right I'm step by step you know you're providing really clear instructions for each stage of the process gotcha so it's like giving them bite-sized pieces of the puzzle instead of the whole jumbled mess all at once exactly and this is especially helpful for those complex tasks right it can really prevent errors and just make the whole thing less overwhelming it's like project management but for AI I'm loving this so we've got C you heard a laughter so he's kind of making this small joke and she's kind of H laughing amazing to AI prompt engineering XML tags role playing this is a whole new world of coding but what about the AI models themselves we've mentioned these open ai1 models a few times what makes them so special and how do they like stack up against other models like so let's listen a bit about what they say about 01 Claude and then we call it claw fantastic question the 01 models they are definitely fascinating and they really excel in certain areas but just like choosing you know the right tool for a job selecting the best AI model really depends on the task at hand so let's uh let's dive into the world of 01 models and see what they bring to the table all right let's dive into those 01 models are we talking like the supercars of the AI coding World they can be for sure especially for those you know larger scale projects the ones that need a lot of horsepower think of the 01 models especially the 01 mini as the heavy lifters the ones you call in when you need to refactor like a massive code base or just generate a ton of code in one go okay so we're talking serious coding muscle here but what makes them so good at handling those massive projects one word output the 01 mini for example it boasts a pretty impressive 64k output hold on 64,000 tokens that doesn't really mean much to me can you give me a real world compar I like that that that was something I emphasized in my videos so I thought it was pretty cool that they brought out up and it's kind of rephrasing the question because oh I didn't get that that was pretty cool right person okay so imagine you're building like a a a complex web application right tons of features all the bells and whistles with that 64k output the 01 mini could potentially generate the entire front end framework in one shot wait this is just amazing I think it's so good the entire front end like everything a user sees and interacts with wow that's like writing I don't know a whole chapter of a book in one sitting but with code yeah it's seriously impressive but I imagine there's got to be some kind of trade-off for all that power right like are they slow or something you're right they can be a tad slower than other models especially for those smaller simpler tasks it's like they're taking their time to really you know mul things over analyze every angle before they spit out that beautifully crafted code so they're like that friend who takes forever to order at a restaurant because they're analyzing every single and here he goes with the restaurant anology again that was a bit funny uh let's just complete this segment and then a quick wrap up item on the menu uhuh yes yeah exactly but then they end up recommending the most amazing dish you've ever tasted okay I can see that but so if I need something quick what then then you might want to go with something like Claude 3.5 which is a fantastic model for you know those day-to-day cating tasks oh I like the pause there like that fantastic daytoday coding test that was good debugging code completion those sorts of things it's also really great for iterative work you know where you're constantly making small changes testing refining so like choosing between a sports car and like a reliable SUV you've got your 01 for those highspeed coding Sprints and then you're clawed for the everyday hustle of navigating through code right exactly and the cool thing that was a bit strange but about tools like cursor AI is that you can often switch between models seamlessly so you always have the the right tool for the job no matter what you're working on again I think this just amazing I love it having your cake and eating it too yeah perfect so uh just a quick wrap up of this I'm super impressed I just see a bunch of use cases for this for uh personal things right if I want to learn something fit a bunch of information download it put it up Spotify put on my air pods just go listen to it it's very comfortable to listen to and it's not just reading exactly what you put in but it's more creating like a podcast script and it's nice to have two people interacting when you listen that is more of like a podcast style right so yeah I think this just is the next level of AI voice audio and kind of interaction between these things so it hasn't got a lot of attention uh I don't know why but I guess all1 stole the show but uh for me this is something I'm going to be using more to to learn stuff and I recommend going trying it out so pretty cool but uh thank you for tuning in thank you for uh yeah listening to me watching my workflows and how I created this so yeah hope you enjoyed it and we speak soon\n"