I'm thrilled to share my experience with the new model from GPT-3, specifically version 0.003. My first impression was that it's a significant improvement over its predecessor, and I'm excited to dive deeper into the details.

One of the first things I noticed was how much more detailed the output was compared to the original model. The text of Interest Series 3 is a great example of this. It's clear, concise, and easy to read, with a good balance of detail and brevity. In contrast, the original model seemed to lack depth and nuance in its responses.

To put it into perspective, I compared the two models side by side, reading through both versions of the text. The new model's output is significantly more polished and refined, with better spacing and formatting. It's clear that a lot of effort has gone into improving the model's user interface and overall presentation.

Another area where the new model shines is in its ability to handle complex tasks. I ran it through a series of instructions, testing its limits and seeing how well it performed. The results were impressive, with the model handling each task with ease and producing detailed, thoughtful responses. This is especially notable when compared to the original model, which struggled with similar tasks.

One of the most exciting features of the new model is its ability to answer complex questions in great detail. I tested this feature by providing a prompt asking me to imagine and write three in-depth questions from a given text. The results were astonishing, with the model producing not one, but three well-crafted questions that demonstrated a deep understanding of the material.

To achieve this, I had to provide the model with a significant amount of text – an entire article, in fact – which it then used to generate its responses. This was a challenge, as I had to ensure that the input was accurate and relevant to the task at hand. However, the results were well worth the effort.

In contrast, the original model struggled with this same task. It produced a series of questions that seemed vague or irrelevant, and failed to provide any meaningful answers. This highlights one of the key strengths of the new model: its ability to produce high-quality responses that are both accurate and relevant.

Overall, I'm extremely impressed with the new model from GPT-3. Its improved performance, increased detail, and ability to handle complex tasks make it a significant step forward in the development of language models like this one. Whether you're looking for a more polished user interface or improved performance on complex tasks, version 0.003 is definitely worth checking out.

I'm also excited to explore further what capabilities this new model has and how far it will be able to take the technology forward. I believe that this could be an exciting area of research with potential applications in fields such as language translation, content creation, and even customer service chatbots. With a model like this on the horizon, I can only imagine the possibilities.

As always, I'd love to hear from you – have you had any experience with GPT-3 or similar models? What are your thoughts on these types of AI technologies? Let me know in the comments below!

"WEBVTTKind: captionsLanguage: enopenai just released a new model for gpt3 text DaVinci 003 so we have to put it to the test and see what it can do and also compare it to the older text davinci002 oh wow wow that's a huge difference so so let's just get started so let's just start by looking at the mail I got this morning so we're excited to release the new addition to GPT model family text obviously 003 the model builds in top of the instructivity so that's good and improves a number of behaviors we are here that are important to you as developers so here are like the the improvements it produces higher quality writing this will help your applications deliver cleverer more engaging and compelling content that's good it can handle more complex instructions I like that we're gonna test that meaning you can get even more creative with how you use these capabilities now and finally it's better at long form content Generations allowing you to take on tasks that were had previously been difficult to achieve okay so that is very excited exciting I'm really looking forward to testing out the longer form improvements and then it just gives an example here and we can check the price sorry today you can access through the API and the playground at the same price as the base language models so that's the same price as zero zero two okay so this x is exciting so let's just get into the testing so this is how we are going to do the testing and we're going to start by testing just in the playground and finally I'm gonna do some testing with my scripts so the first thing we want to check out is more engaging content so I wrote this write a super engaging YouTube script outline draft about the topic or if official general intelligence you're going to see the results in DaVinci 002 and in three and compare them same here we're gonna test out long form content and we have this prompt but the detailed information content in long form about the history of AI and finally we tried to do some complex instructions I don't know how complex but we're gonna start with this first write relevant questions about AGI and then answer those questions finally write a summary of the answers and that might be too simple but let's test it out and we're gonna compare it so let's just start with engaging content okay so let's just copy our engaging content prompt here go over to the playground uh I'm gonna select the zero zero two model first let's put that temp to 0.9 I guess 800 tokens and then we're just gonna compare them okay so let's copy that clean it up a bit okay and now let's remove that change our model zero zero three okay so this looks much more advanced actually wow wow very impressive so let's copy that let's clean it up a bit okay so let's compare this now uh we can see from DaVinci zero zero through this is pretty much what I've been working with uh you get like an okay uh outline but it's something special uh I guess it's okay but wow I was really impressed hearing it like we get a video title suggestion we get this video description you get a script outline so we get like introduction current state of hi revolution in the way we act with tech and it even puts in like how long we should think about this and on that conclusion and recap wow that was impressive okay so I'm really excited for this as you probably know I really like uh tipty3 so this is very exciting I can already think of good ideas with this very promising okay so let's move on to long form content then so long form content let's copy this from I'm not gonna do it let's do tiles and tokens around that yeah let's try with zero zero two okay this is not bad we got four paragraphs pasted in here clean it up a bit okay so now let's uh remove this and change our model zero zero three okay so just as I'm reading here it looks much more detailed that's my first impression I like the spacing of the paragraph Okay so interesting paste it in here and clean it up with it okay so let's just compare the long form content I kind of like both actually I've read through them now uh this is a the text of Interest Series 3 is much more uh it's much more detailed like it's easier to this is more like an overview it's not referring to any persons or anything but here you can see you can see Alan turning we can see John McCarty there's a lot of details like in it's even Arthur Samuel here and yeah I think it's much it it's actually better like better quality the length is about the same but the quality seems much better and it's a bit easier to read so very impressed so now let's have a look at the complex instructions so I changed this up a bit uh we go like first by three relevant questions about AGI and then answer those questions then write a sentiment reports of each answer finally write a summary and conclusion of the answers so let's see if it can handle this so we start off with the zero zero two and let's see what we can do here okay so that was it of Bella doesn't seem like what I really wanted let's clean this up a bit okay now let's change our model zero zero three I like the way it does like q1 A1 q1 Q2 q a two okay I like the formatting looks very good even has the sentiment report cool so let's put it in here and clean it up a bit and have a look okay so let's have a look at the complex instructions so from zero zero two we got the three questions that's good we got three answers very thin answers that they're not very detailed but I guess it's okay and we got this summary uh so that's pretty much what I'm used to from zero zero two uh now let's look at zero zero three this was quite impressive actually so we got our questionnaire we got our answer that was very detailed answer I really like even what it said so that was good and something I called sentiment report I don't know what that even is we got that and we got the same for question two and sentiment report and sentiment report here in the third question two and we got this great summary and conclusion this looks like actually like a huge improvement from my first initial test so yeah very excited about this actually uh but now let's head over to my Python scripts and and do some things there with the new model so the final test I wanted to do has to be in my script so here we're gonna let's just start by text of hc002 use this model yeah this is just my script I'm not gonna go through that now so the prompt we have is Imagine and write three in-depth questions from the following text and then answer those questions in great detail uh okay so let's just go on to verge.com and grab an article here just copy the title put it into my feed here some more just going to grab a whole bunch of text from this article okay so we got yeah we got a good chunk of text here maybe we can get a bit more yeah that's almost the whole article right let's save that head over to terminal go to my workflow script okay so let's see what we can get there now from um text DaVinci z002 that's our first attempt okay so it didn't answer the questions put up three questions so it didn't answer them okay so this is what we got back from zero zero two okay so let's change up the model now let's go zero zero three okay so let's run it again this time with zero zero three so this is gonna test like their complex instructions feature I guess oh wow wow that's a huge difference crazy so this is what we got back now this is what we got from zero zero two wow impressed very excited this was some very detailed answers very cool okay so that was the testing we wanted to do today and my first impressions are wow this looks very exciting I was really impressed by the results actually and when we did the comparison you can see like a huge Improvement and that was just I didn't do any reruns or anything that was just like the first attempt so wow I'm really excited uh so let me know in the comments if you want to see more videos about this new model from gpt3 the text 003 and yeah let me know if you have tested it too so anyway see you again soon thank you for watching also check out some of my other videos here if you want to and yeah see you soonopenai just released a new model for gpt3 text DaVinci 003 so we have to put it to the test and see what it can do and also compare it to the older text davinci002 oh wow wow that's a huge difference so so let's just get started so let's just start by looking at the mail I got this morning so we're excited to release the new addition to GPT model family text obviously 003 the model builds in top of the instructivity so that's good and improves a number of behaviors we are here that are important to you as developers so here are like the the improvements it produces higher quality writing this will help your applications deliver cleverer more engaging and compelling content that's good it can handle more complex instructions I like that we're gonna test that meaning you can get even more creative with how you use these capabilities now and finally it's better at long form content Generations allowing you to take on tasks that were had previously been difficult to achieve okay so that is very excited exciting I'm really looking forward to testing out the longer form improvements and then it just gives an example here and we can check the price sorry today you can access through the API and the playground at the same price as the base language models so that's the same price as zero zero two okay so this x is exciting so let's just get into the testing so this is how we are going to do the testing and we're going to start by testing just in the playground and finally I'm gonna do some testing with my scripts so the first thing we want to check out is more engaging content so I wrote this write a super engaging YouTube script outline draft about the topic or if official general intelligence you're going to see the results in DaVinci 002 and in three and compare them same here we're gonna test out long form content and we have this prompt but the detailed information content in long form about the history of AI and finally we tried to do some complex instructions I don't know how complex but we're gonna start with this first write relevant questions about AGI and then answer those questions finally write a summary of the answers and that might be too simple but let's test it out and we're gonna compare it so let's just start with engaging content okay so let's just copy our engaging content prompt here go over to the playground uh I'm gonna select the zero zero two model first let's put that temp to 0.9 I guess 800 tokens and then we're just gonna compare them okay so let's copy that clean it up a bit okay and now let's remove that change our model zero zero three okay so this looks much more advanced actually wow wow very impressive so let's copy that let's clean it up a bit okay so let's compare this now uh we can see from DaVinci zero zero through this is pretty much what I've been working with uh you get like an okay uh outline but it's something special uh I guess it's okay but wow I was really impressed hearing it like we get a video title suggestion we get this video description you get a script outline so we get like introduction current state of hi revolution in the way we act with tech and it even puts in like how long we should think about this and on that conclusion and recap wow that was impressive okay so I'm really excited for this as you probably know I really like uh tipty3 so this is very exciting I can already think of good ideas with this very promising okay so let's move on to long form content then so long form content let's copy this from I'm not gonna do it let's do tiles and tokens around that yeah let's try with zero zero two okay this is not bad we got four paragraphs pasted in here clean it up a bit okay so now let's uh remove this and change our model zero zero three okay so just as I'm reading here it looks much more detailed that's my first impression I like the spacing of the paragraph Okay so interesting paste it in here and clean it up with it okay so let's just compare the long form content I kind of like both actually I've read through them now uh this is a the text of Interest Series 3 is much more uh it's much more detailed like it's easier to this is more like an overview it's not referring to any persons or anything but here you can see you can see Alan turning we can see John McCarty there's a lot of details like in it's even Arthur Samuel here and yeah I think it's much it it's actually better like better quality the length is about the same but the quality seems much better and it's a bit easier to read so very impressed so now let's have a look at the complex instructions so I changed this up a bit uh we go like first by three relevant questions about AGI and then answer those questions then write a sentiment reports of each answer finally write a summary and conclusion of the answers so let's see if it can handle this so we start off with the zero zero two and let's see what we can do here okay so that was it of Bella doesn't seem like what I really wanted let's clean this up a bit okay now let's change our model zero zero three I like the way it does like q1 A1 q1 Q2 q a two okay I like the formatting looks very good even has the sentiment report cool so let's put it in here and clean it up a bit and have a look okay so let's have a look at the complex instructions so from zero zero two we got the three questions that's good we got three answers very thin answers that they're not very detailed but I guess it's okay and we got this summary uh so that's pretty much what I'm used to from zero zero two uh now let's look at zero zero three this was quite impressive actually so we got our questionnaire we got our answer that was very detailed answer I really like even what it said so that was good and something I called sentiment report I don't know what that even is we got that and we got the same for question two and sentiment report and sentiment report here in the third question two and we got this great summary and conclusion this looks like actually like a huge improvement from my first initial test so yeah very excited about this actually uh but now let's head over to my Python scripts and and do some things there with the new model so the final test I wanted to do has to be in my script so here we're gonna let's just start by text of hc002 use this model yeah this is just my script I'm not gonna go through that now so the prompt we have is Imagine and write three in-depth questions from the following text and then answer those questions in great detail uh okay so let's just go on to verge.com and grab an article here just copy the title put it into my feed here some more just going to grab a whole bunch of text from this article okay so we got yeah we got a good chunk of text here maybe we can get a bit more yeah that's almost the whole article right let's save that head over to terminal go to my workflow script okay so let's see what we can get there now from um text DaVinci z002 that's our first attempt okay so it didn't answer the questions put up three questions so it didn't answer them okay so this is what we got back from zero zero two okay so let's change up the model now let's go zero zero three okay so let's run it again this time with zero zero three so this is gonna test like their complex instructions feature I guess oh wow wow that's a huge difference crazy so this is what we got back now this is what we got from zero zero two wow impressed very excited this was some very detailed answers very cool okay so that was the testing we wanted to do today and my first impressions are wow this looks very exciting I was really impressed by the results actually and when we did the comparison you can see like a huge Improvement and that was just I didn't do any reruns or anything that was just like the first attempt so wow I'm really excited uh so let me know in the comments if you want to see more videos about this new model from gpt3 the text 003 and yeah let me know if you have tested it too so anyway see you again soon thank you for watching also check out some of my other videos here if you want to and yeah see you soon\n"