New AI Model Crushes GPT-4o With Shocking Results

so it's been a crazy week in the world of AI and if you're into this stuff you're going to want to stick around because some big names just made big moves we're going to talk about two major updates from Nvidia and Google that you have to know about so let's Jump Right In all right first up Nvidia the company that pretty much Powers most AI systems with their gpus well they just dropped an absolute bombshell Nvidia quietly released a new AI model and when I say quietly I mean no big flashy event just a stealth drop but here's the thing this model absolutely crushes GPT 40 the new model is called llama 3. 1 neotron 70b instruct bit of a mouthful I know but don't let the name fool you this thing is a beast it's now up on hugging face and it's blowing everyone away with its benchmark scores on the arena hard test it scored an impressive 85. 0 which is seriously High then on alpaca Evil 2 LC it hit 57.

6 and for the GPT 4 Turbo Mt bench it got 8. 98 to give you some context these numbers totally blow past what open ai's GPT 40 and even anthropics newest model Claude 3. 5 Sonet have been putting up Nvidia is not just catching up they're taking the lead in a big way another key point that sets this new model apart is its focus on something called alignment now in AI alignment basically refers to how well a model's responses match the needs and preferences of the user for businesses this is a GameChanger it means fewer errors more useful responses and ultimately better customer satisfaction Nvidia has really dialed into this idea making the model better at understanding what the user wants rather than just generating generic or incorrect answers in the long run this could save companies time and money by reducing the need for constant oversight or Corrections making their operations smoother and more efficient now Nvidia has traditionally been known for its Hardware right their gpus are what power a lot of the AI models we talk about but now with the release of this new AI model they're stepping directly into the language model game and this move is huge because it puts Nvidia in direct competition with software companies like open AI which have been dominating the large language model space now how did Nvidia pull this off well they took meta's open source llama 3.

1 model and gave it a makeover using some pretty Advanced Techniques like reinforcement learning from Human feedback or rhf for short essentially they're making the AI learn from Human preferences so its responses feel more natural and honestly smarter this model can handle complex queries without needing you to spoon feed it with extra tokens or prompts a simple question like how many RS are in Strawberry gets a detailed response it doesn't just answer it explains that's next level stuff now why what does this mean for businesses Nvidia is making this model available on their platform called build. nvidia. com and they're offering free hosted inference through an API that's compatible with open AI so if you're running a company and thinking about using AI you now have a serious alternative to gp4 and it might even save you some cash because nvidia's offering is potentially more cost-efficient but there's more nvidia's model is super flexible which is a GameChanger for businesses whether you're using AI for customer service creating complex reports or even generating marketing content this model adapts and as a charer on top Nvidia has been pretty transparent about the fact that while the model isn't tuned for super specialized tasks like highlevel math or legal reasoning it's still robust enough for most business applications just make sure to use it in the right context and you're good to go however the company did warn that the model has its limits especially when it comes to specific domains like law or mathematics so while it's an incredibly versatile tool businesses will still need to implement safeguards to prevent any unintended mistakes all right now let's talk about Google Google also made some headlines recently with their AI model image and 3 which just rolled out worldwide and get this it's available for free but hold up there's a catch before we get into that let's break down what image and 3 is image in 3 is Google's new AI image generator and according to Google it's their best model yet for creating highquality images they claim it's much better at following user instructions and generates fewer visual artifacts than its previous version and you know what based on what we've seen they're not lying you can ask it to generate anything from photorealistic Landscapes to oil paintings even clamation scenes but here's the annoying part if you want to generate images of people you've got to pay for it that's right to unlock that feature you need to subscribe to Gemini Advance which costs $19.

99 per month so yeah while you can generate all the landcapes animals and abstract art you want for free human faces are behind a pay wall and just to put that into context when you subscribe it's not just the image generator you get you also get 2 terab of Google one storage and access to AI features in Google Docs not a bad deal if you're deep into the Google ecosystem but still it's a bit of a bummer that the people images aren't available on the free tier now I want to talk about how image in 3 works because it's a little different from other AI image generators while some platforms generate multiple variations of an image for you to choose from image in three gives you just one image per prompt but here's the cool part you can ask it to refine that image by requesting changes and it'll remember what you asked for previously every time you request a change though it generates a new image from scratch which is kind of neat oh and by the way you can download as many images as you like there's no daily limit even on the free tier you get a 2048 x2048 resolution JPEG which is pretty high quality so what's the big deal well image in 3 has some features that really stand out for example its text rendering capabilities are solid if you want to create a comic book panel with a speech bubble the text should be readable which isn't always the case with AI image generators but and here's the caveat it's not perfect yet Google is working on it but we've seen some wonky results like this 1950s sci-fi comic panel where the text just didn't come out quite right still it's a step in the right direction but even with its limitations imagin 3 deserves a spot among the best AI image generators out there and for those of you who need to create images for your projects this tool is definitely worth EXP exploring just know you'll need to upgrade to generate human faces now going back to Nvidia for a second what's interesting about their new model is that it's not just about benchmarks and numbers nvidia's really leaning into the idea of alignment for those of you who don't know in AI alignment means how well a model's outputs match the needs and preferences of its users Nvidia is emphasizing this because for businesses it means fewer mistakes more accurate responses and ultimately better customer satisfaction if a model can understand your intent better you're going to have fewer headaches trying to make it work for you nvidia's also made it clear that they're gunning for more than just the text generation game they recently introduced their NVM 1. 0 family of multimodal models which handle both text and images their Flagship the nvmd 72b boasts a whopping 72 billion parameters so yeah Nvidia is going all in on this they're not just competing they're setting the pace what we're seeing here is a massive shift in the AI landscape nvidia's entry into software development challenges the dominance of companies like open Ai and anthropic who've held the lead in language model development and with Google making tools like imagin three more accessible to Everyday users the AI arms race is heating up in the coming months everyone's going to be watching how these tools perform in real world scenarios nvidia's llama 3.