Huge Week for AI Use Cases (Google, Apple, NBA)

this week we had a plethora of new AI use cases pop up I collected them all and we're going to go through them one by one some of these are major advancements of how AI is going to be used today and in the future like this interface that is more than 10 times faster than cat GPT or this open source image generator by Apple then we have NBA coming out with the NB AI great name I guess or Gemini Advance already pushing highly requested features there's a lot to go through and everything we cover here is either usable today or used by others today so as per usual these are all the new use cases in AI that came out over the course of the last week let's get into

it so first things first we need to talk about Gro cuz this was all the rage this week all over social media and the bottom line here is it's more than 10 times faster than chat GPT I'm not talking GPT 4 GPT 3. 5 okay which is already super fast check this out here is GPT 3. 5 not bad right and then here's grock so as this is super popular right now there's a bit of waiting time up front but as soon as the generation starts you can see the real speed of this and the whole point of this is a brand new hardware architecture that was introduced by this company so what they're using in the background is referred to as lpus linear processing units as opposed to gpus Graphics processing units you can see the speed comparisons here and it's just wonderful to see Alternatives emerge to nvidia's gpus now expect this to be mainly used by developers moving forward but this does unlock a whole new set of use cases as when you're wearing something like a smart device you want the answers instantly right you don't want to delay between you speaking and AI generating answers that's what this is going to be super useful but you as a consumer can also use it if you're in a rush gro. com there you go okay moving on to the next

one this is a Gemini Advanced update so this is the GPT 4 competitor from Google and what they included here is the ability for it to run python in a sandbox so as you know this is something we have in gp4 already with the Advan Advance data analysis tool and for most people this was at the top of the list when it comes to things missing in Gemini advance so less than 2 weeks after the release they added it in and I think it's interesting to point out that the implementation is slightly different here so as you can see here it composes the email and then it counts the characters in Python okay a very simple operation but if you've used the data analysis tool a lot in gp4 like me you will know that it just does it okay and here it rather writes the email and then it sets up the python code but you have to run it yourself okay so you have to go ahead and say run code in here and then it counts the characters and there's even more explanation here so everything that I outlined in my original video about Gemini Advance holds true this is more of a helpful assistant whereas opening ey is going more into the direction of an action space model that just gets stuff done for you here you have more explanations and you have to run the code yourself just a different product so there you go now you can execute code inside of Gemini Advanced nice moving on okay for

the next few use cases we're looking at various implementations and new releases in the image generation space and it's actually crazy what's happening because some of this stuff is getting implemented by the NBA and players like apple are entering the scene here now okay to be completely fair and objective what apple is doing here is less than impressive and that's being very soft with my judgment here they basically released this new open source model which is like what Apple open source in one sentence that doesn't make much sense either way you can try it out over here on replicate but look let me save you some time if I upload an image of myself and say make him look happy or anything else really just the results are not there it's not good this is just very far behind the competition but I did want you to be aware of that cuz you know it's apple and they released that AI thing so let's move on to the next

one which you actually might want to use and that's stable diffusion Excel lightning and this one is released by the company behind TiK ToK by dance if you've been following closely they're releasing more and more AI research so they're very serious about their moves in this space you can try this one out over at this hugging face space so let's try the AI Advantage Benchmark with a cat with a hat and just run this and the interesting part about this is that it actually generates the image four times and it's very quick at that so a new approach image generation and the claim here is that they become more realistic and I got to say look when I compare the same prompt and look this is one prompt I'm testing this a few times so don't take this too seriously but just by my judgment the results do come out better and they are more realistic look at that let's generate another one so this is just base stable diffusion XL on the right side and stable diffusion XL lightning from Bend on the left side yeah all of these are just straight better so if you're using stable diffusion Excel regularly this might be worth considering and they also offer this as a comi workflow where you see and get to adjust a lot of the details that are happening under the hood I like the fact that it includes four steps

okay so for our next use case we'll be looking at a tool that will allow you to edit the text inside of AI image generation really easily this is obviously fantastic for marketing and I'm happy to say that this tool is actually the sponsor of today's video and they buil something that legitimately answers a requests that I receive regularly like hey or you show us all these techniques with image generators but every time I create something with text in it it's 90% of the way there and that's just not good enough and usually my recommendation there is just yeah no problem open up Photoshop mask out the part with the Clone stamp tool and reinsert the text but what if you don't use Photoshop or you don't have the time for that well that's where a multi-tool like Storia comes in you can try it for free and as you can see if you come in you get 10 credits and what I want to show off today is their textify tool so they have more here but this is what we're going to be looking at today so if I just drag over a image that I generated with do here right it's a cat with a hats that holds a sign that says AI Advantage now this is the typical thing that you get whenever you have text in your shot it's going to look something like this the AI is great but the advantage is just not there at all so all you need to do here if you want to replace the text is just pull out a text box over the text and it's important that it covers the entire area that you want to replace okay so I'm going to say AI Advantage going to change the font size a little bit and then you can manipulate this text box so you can rotate it like so resize it a little bit and what I'm going to do is actually pick these fonts now you could let it do it automatically okay that looks good so all you need to do is say apply and then the textify tool here analyzes the image and replaces the text for you no Photoshop editing skills needed here and that's pretty great this was actually the first take in the recording that I'm doing here so good job story honestly now you can do more operations with this like send this to the editor or you could clean it up remove the background and even if you want to generate images they have an image generated in here where you can switch between stable diffusion Excel do free or Leonardo so whenever you're creating AI art and you need the text to be right and you want the fastest workflow possible well here you go the free version has 10 credits and then you do need to upgrade to remove the watermarks but if you want to try Storia today go to the first link in the description of this video and thanks again Storia for sponsoring this video and I got to say great job on making this super simple to use okay and then I

have two more image generation related ones one of them is this new GitHub repo which is a one-click installer for a brand new way to run some of these models now some features that stand out to me here is first of all it has a easy setup so you literally just download the compil package and run the executable and youve got this interface on your computer which is amazing usually these take a little more effort to install secondly the requirements on this are not crazy especially compared to some others and what they require so with 10 GB of RAM and a Cuda capable GPU you're already in the game and then you unlock a whole set of custom features that you won't be getting in a lot of these web interfaces like in painting out painting control net or NSFW filter toggle right these things are not going to be available if you use it for the web so that's an interesting one and here's

another really fun one that I just ran into while researching new tools and this has really interesting and kind of crazy image generation workflows okay and what I mean by workflows is that it ties multiple models and generations together sometimes it takes a bit but for example this crashed Del one is really interesting to me so I don't know if I just say Spongebob king of sponges and keep in mind these are crazy quirky weird okay so this is not going to be high quality stuff it's just going to be interesting and it's going to be wild if that's your thing or if you have a use case for that then this side is exactly for you but I did want to feature it this is kind of cool so as you can see it always does multiple steps and in some other examples here it does like 8 to 10 steps so there you go all hail SpongeBob it's obviously generated a Wilder prompt and you can regenerate this multiple times there's various models here and here you can see some results that other users just recently generated I mean look at that this is not your typical Del generation right and you get that by combining a chain of multiple steps so if you're into image generation and playing around and if you're into weird results which I really am like this is really cool then I guess you would enjoy doing this was completely for free by the way look at that SpongeBob king of sponges much more on here some oddly specific but what I did find to work as this site is not that popular yet is that if you look at the play numbers the ones with a lot of plays are usually the ones that you want to be looking at okay and to round out

the section on AI image generators actually the NBA itself announced something interesting that they call MB aai and rather than me just explaining let me show you what the NBA is using AI for or what they're envisioning it's kind of interesting and weird and just have a look so nbii show me the Pacers game as if it were a Spider-Man movie generates in real time with the game now that is pretty cool right so where are they heading with this I guess during live broadcast they will have segments that are stylized like this and generated in real time so if a replay is happening it might just happen in a Spider-Man style or whatever you prefer now it's just interesting to see organizations like this implement this technology where a lot of times you look at these things and like okay you know this is really great but what am I going to be using this for well big players are already coming up with different use cases and this is what one of them looks like just thought it was an interesting use case I wanted to share but now let's

move on over to the world of large language models because this week has been generous in terms of large language model releases let's start by talking about the big one Gemma by Google these are two small models that are fully open source so wait a minute there's a apple open source model and a Google open source model what is going on here I'm not exactly sure but we did get two open source models from Google's Deep Mind and they say these are based on the Gemini resarch that they've done and what they're exceptionally good at is code assistance and first of all as per usual they're claiming these are best in class now keep in mind at the small sizes and right here you can see the comparisons to llama 2 so they perform better on all the popular benchmarks than Lama 2 at the 7B model now mind you the parameters are important because these couldn't match up to the 70 billion models but the cool thing about these if you didn't know already is that if they're this small you're going to be able to run them on your computer even though you don't have a powerful computer you're going to be able to use them on your phone and then make makes it very versatile and people can build apps on top of this now and they'll be getting way more quality and capabilities now I do want to point out that all the benchmarks they're selecting here are mostly coding and math related and that's what these models really shine in okay so if you check out their technical report you'll find that yes the Llama models that were released by meta perform very similarly when it comes to answering questions and reasoning but math science and coding Gemma just outperforms it and it's not even close now without even diving into the technicalities if you just look for the word safety as this a Google model this will be very censored look the word safety appears 24 times in a 16 page paper and it performs better on all of these safety benchmarks too in other words it's going to be quite censored but hey that's fine if you're using it for coding rather than answering questions right there it doesn't matter as much so if you want to try building something with these you can head on over to this URL and right here you have a quick start guide and if you want to just try it there's this hugging face chat where you can try out the model let have we cot a snake game now I need to point out this at this point it feels like all the new models that are coming out include training data for some of these standard tests like coding a snake game or playing tic tac toe I don't think those are good benchmarks anymore because they know everybody's testing the same thing so they just include that it's just ridiculous how quickly these models got better at these standard use cases as all people on the internet keep testing the same things over and over again so just be aware of that but hey that's not it for large language models this week because we got another one from mistol and this one is called Next and you can also try this out right away okay if you head on over to chat. LMS y. org you can chat with the mistal next model right here in typical mistal badass fashion they just dropped the Discord message and thereby announced the whole thing no announcements nothing and this one also just came out it performs well on some of the standard benchmarks like generating snake games and stuff and what people basically say about this one is that it's really good at logic but many people also claim that it's somewhat weird and way weaker in some things so I'll withold my opinion on this one for now I'll be following the leaderboards what they say this chatot Arena ELO leaderboards have in my opinion really turned out to be the best evaluation of how good a model performs but both Gemma and next are not on there yet so we shall wait and see all right and there you go those are all the new ways you could be using AI this week or you had a really color from mix a lot of big releases as per usual if I missed anything or you found one particularly interesting and you want more of a deep dive rather than a first look and overview leave a comment below and if you enjoyed this I make a video like this once every week and there's a playlist where you can check out what came out over the course of the last few months all right and that wraps it up for now I'll see you next week