“You say you could write an entire letter about A.I. Waiting for it? We don’t even have to wait anymore. That’s the amazing part of it. You folks made some announcements this morning about news on the A.I. front on the software and chip side of this business. When you think, for example, about Chat GTE or what Google is doing, how do you compare yourself about how we do that?” “Well, Machine Learning has been at the core of our business for over 20 years, and it’s in everything we do. The personalized e-commerce recommendations and then in AWS, we own 25% of Must. And in the last six to nine months, you’ve seen this really exciting development of large language models, and A.I. is the announcement that you talk about today is in our A. We’re trying to democratize technologies that large and small companies alike can afford and have access to build amazing customer experiences. So if you think about running these large language models, there are three pieces to it. The first is they all need compute. You’re going to train models, and then the models spit out inferences or predictions. The key pieces are the chips inside of it. We’ve been working on specialized chips for training and for inference that have the combination of price and performance in a really add then most companies want to lose these large, and it takes billions to train and years. Most companies don’t want to do that. They want to work off a foundational model that is big or great already and customize it for their services. And you’ll get access to large language models from Entropic, Stability A.A., and from ourselves, we’re.” “Yeah, that your big, large language models down that you can play play these on top of them, and it just has to be specific for your application. So that’s bedrock, which I think will change the game for people. And there will be these applications built, chats, and something we call Code Whisperer for developers.”
If you’re writing code, instead of having to write everything and do all the art and science yourself, you can, in a natural language way, just say what you want to do, and Code Whisperer will generate the code for you that will substantially change developers’ productivity. So, when you saw what Chat TPT did and the relationship it has with Microsoft, and you see what Barr Bard is doing, where should Amazon be in that conversation? Well, I think, as I mentioned earlier, we have been using machine learning in a very deep way in every one of our businesses. We have our own language models that we’ve been learning on for multiple years, and that has fueled a lot of our experiences. I think, in general, you should expect that regenerative.
Transformation! 