Chapter
Optimization with Neural Networks
40:22 - 48:59 (08:37)
This episode talks about optimization with neural networks and how a powerful enough transformer can optimize each line of code to create better and more accurate predictions.
Clips
The speaker discusses the benefits of having a general purpose computer that can be trained on arbitrary problems and is both expressive in the forward pass and optimizable via backpropagation and gradient descent, allowing for efficient high parallelism compute graphs.
40:22 - 42:54 (02:32)
Summary
The speaker discusses the benefits of having a general purpose computer that can be trained on arbitrary problems and is both expressive in the forward pass and optimizable via backpropagation and gradient descent, allowing for efficient high parallelism compute graphs.
ChapterOptimization with Neural Networks
Episode#333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI
PodcastLex Fridman Podcast
The residual pathway in neural networks allows for optimization of one line of code at a time, with the gradients flowing uninterrupted along it.
42:54 - 45:29 (02:35)
Summary
The residual pathway in neural networks allows for optimization of one line of code at a time, with the gradients flowing uninterrupted along it. This allows for the learning of a short algorithm that can approximate the answer, with other layers contributing to refine it further.
ChapterOptimization with Neural Networks
Episode#333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI
PodcastLex Fridman Podcast
Large language models like GPT can predict the next word in a sequence by downloading massive amounts of text data from the internet and training the model to find emergent properties.
45:29 - 48:59 (03:30)
Summary
Large language models like GPT can predict the next word in a sequence by downloading massive amounts of text data from the internet and training the model to find emergent properties. Language models predict text and with a powerful enough neural net, they have the ability to scale up and predict text with surprising accuracy.