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7 results for “ai models”
As you might know, the mission of, all of DeepMind is to build AI responsibly to benefit humanity. And the way our particular team has been doing it for years now is to look for ways how AI can discover new algorithms. New algorithms are everywhere a
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from transcript1:26 – 2:39
...models to propose, like, creative new ways how to improve that solution. The strictness of the evaluation function provided by the user that is able to actually filter out the things that, that work from the ones that don't. And then this is wrapped
12:48 / 13:51
from transcript12:48 – 13:51
...small models can only do so much. And the problem with learning about LLMs
2:12:45 / 2:13:46
from transcript2:12:45 – 2:13:46
...designed to be deployed to mobile devices and IoT that use very low amounts of system memory and can provide inference responses within milliseconds.
22:27 / 23:31
from transcript22:27 – 23:31
...models is, I think, OpenAI's name for this. They had this new API in the fall, which they called the reinforcement fine tuning API. This is the idea that you use the techniques of reinforcement learning, which is a whole framework of AI. There's a de
26:52 / 28:10
from transcript26:52 – 28:10
...these models are not getting the answers correct. So when you think about a model, it's like you have compute, you have algorithms, and you have, like, data. Those are, like, the three things that matter with models. Everyone's applying a ton of comp
18:54 / 19:57
from transcript18:54 – 19:57
And it's largely one loss function taken to a very large amount of of compute usage. You just you set up really efficient systems. And then at the end of that, you have this base model. And pretraining is where there is a lot more of complexity in te
25:30 / 26:33
from transcript25:30 – 26:33
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