Amazon New AI Models 'NOVA' Stun The Entire Industry!

so I'm excited to share and announce the launch of Amazon Nova which are our New state-of-the-art Foundation models that deliver Frontier intelligence and Industry leading price performance you can see here that Amazon literally just announced their Frontier models it's really fascinating to see other companies get in on the e space so watch this entire video because it's going to show you guys everything you need to know about Amazon's New Frontier models and their capabilities so in this intelligence set of models there are four flavors the first is micro which is a Texton model which means

you feed it text and it outputs text it's laser Fast Very cost effective and our internal Builders are really enjoying it for a lot of their simple tasks and then we have three flavors of multimodal models and so multimodal models you in you can input text or image or video and you output text and so each of these are in ascending order of size and intelligence the micro light and Pro Models are generally available today the premier model will be available in the q1 time frame so I'm going to share a few benchmarks I'll just

say that we used external um published benchmarks whenever we could and when they weren't available we did it ourselves we publish a methodology on our website so you can try and replicate if you like so I'll just share some of the uh benchmarks so on the micro model you can see it is a very competitive model we uh if you look at the raw numbers relative to the the leading models in this class um llama and Google's Gemini on the on the raw numbers it's uh it benchmarks better on all the variables versus LL and

12 of 13 versus Gemini but if you do statistical significance testing which we did we just took all the um numbers that were overlapping uh in the 90 95% confidence interval and we called is equal so if you look at that way which I will moving forward you can see that we um are equal or better on all the benchmarks compared to llama and Gemini in these in this class of models if I look at the light model it's a very similar story very competitive if you compare Nova light to open ai's GPT 40 min

you can see that we're equal or better on 17 of the 19 benchmarks equal or better on 17 of the 21 benchmarks versus Gemini and then equal or better on Haiku 3.5 on 10 of the 12 benchmarks hiu isn't doing uh images or video yet so we couldn't Benchmark on as many dimensions but again a very competitive model and then if you look at Pro same story uh if you compare it to um GPT 40 it's equal or better on 17 of the 20 benchmarks it's equal or better on 16 of the 21 benchmarks versus

Gemini the very best best model in this class of models is Sonet V2 3.5 but even here you can see that our pro model is equal or better on about half of those and on the ones are not it's very competitive and you're going to like the cost and the latency characteristics here and then our Premier model which will be our largest multimol model will be available in the q1 time frame now so that's four very compe compelling intelligence models but there are some other things that I think I'm going to really like about these

models first they're really cost effective they're about 75% less expensive than the other leading models in Bedrock two they are fast they're the fastest models that you'll see with with respect to latency we'll also um uh make the Nova models available in the skew that U Peter was talking about last night in the late latency optimized inference skew as well they're very fast and then they're not just integrated they're just not in Bedrock but they're integrated deeply with all the features in Bedrock that any model provider can use it's just that this team took the

time to do them so that means that you get fine-tuning increasingly a lot of our app builders for gener of AI they want to do fine tuning with labeled examples to make the applications perform better you'll also be um the Nova models are also integrated with the distillation feature of the mattress talked about so you can Infuse intelligence of bigger models into smaller models that are more cost effective and lower latency it's deeply integrated in bedrocks knowledge bases so that you can use rag to ground your answers and your own data and then also we've

optimized these models to work with your proprietary systems and apis so that you can actually do multiple orchestrated automatic steps aen Behavior much more easily with these models so I think these are very compelling I'm looking forward to get taking a shot at them and using them now customers want to actually do more around generative AI than just with outputs that are text they also have a lot of needs around images and around video and there's lots of examples of it but but simple ones or advertising or marketing or training materials and so we've worked

hard you know it's expensive there aren't a lot of options out here they're not easy to do yourself and we've worked hard on this problem and I'm excited to announce two more models for you first is Amazon Nova canvas which is our state-of-the-art image generation model and so canvas it it's uh allows you to input natural language text get images back they beautiful imag they studio quality images um it allows you to edit images using natural language or text inputs it gives you controls for color scheme and layout it has a number of built-in controls

for responsible use of AI including water marking for traceability as well as content moderation to limit the generation of harmful content and we we benchmarked this as well we tried the Benchmark it versus some of the other state-of-the-art um players in the space in this case we picked you know typically what people consider the two leaders here which are um you'll see Dolly 3 and stable diffusion 3.5 and we benchmarked on the two variables that matter most which is image quality and instruction following and you can see that canvas outperforms both of them on both

those Dimensions we also did a human evaluation where you saw similar types of results so this is a compelling model and then of course we also want to allow you to have it be easy to generate video and so we're excited to announce the launch of Amazon Nova real which is our state-of-the-art video generation model so again with real it's studio quality video it's really stunning videos that you can create it gives you full control of the camera lets you have motion control it lets you do panning it lets you do 360° rotation and zoom

it also has built-in um AI controls um for safe AI including water marking and content moderation we'll launch it with the ability to do six-second videos which works really well for a lot of marketing and advertising on its way up to two-minute videos in the next few months we Benchmark this as well there aren't really many um video generation services that have an API and then none of them have automated benchmarks so we just took one of the uh we Benchmark with human evaluation versus one of the leaders here in in Runway and you can

to see again that real benchmarks very favorably relative to others so that's six new frontier models for you what's going to be next for us in Nova well the first thing is the team is going to be working really hard over the next year on the second generation of these models but I also have a couple things I thought I'd give you a sneak peek into um the first is that in the q1 time frame we antic giving you a speech to speech model which will allow you to input speech and get speech back very

fluent very fast and then around mid year we're going to give you an any to any model so this is really multimodal to multimodal so so you'll be able to input text speech images or video and output text speech images and video video this is the future of how Frontier models are going to be built and consumed and we're really looking forward to giving this to you so you may be asking yourself how should I think about aws's model strategy they have very deep Partnerships with the number of model providers they have some of their

own models now and the way I would tell you to think about it is the way that we always provide you selection in everything we do which is that we are going to give you the broadest and best functional it you can find anywhere and what that's going to mean is it's going to mean Choice the reality is that all of you are going to use different models for different reasons at different times which by the way is the way the real world Works human beings don't go to one human being for expertise in every

single area you have different human beings who are great at different things you're going to sometimes be optimizing for coding sometimes for math sometimes for uh integration with rag sometimes for agentic needs sometimes for lower latency sometimes for cost most of the time for some combination of these and in AWS we are going to give you the very best combination of all of these as we always do and we think we've added some pretty interesting models to the mix today but the great thing is is that all of these models are available for you in

Bedrock and you can use them in whatever combination you want and you can experiment you can change over time and we will give you that selection and that choice today as well as in the future so with that I will say have at it gidy up and back to Ma so we could clearly see here that Amazon has introduced its own Frontier models that are performing really really well and we actually take a look at the wider AI Market by taking a look at this graph from artificial analysis Quality Index we can see that they

actually do perform at a decent rate they are firmly wedged within the AI ecosphere as a model that many individuals are going to use of course it's probably going to be a lot of Amazon AWS customers but nonetheless it is surprising that a company can just come out with their own Frontier models that are on par with some of the leading AI companies so it'll be interesting to see what Amazon holds for us in the future as they develop the AI ecosystem even further