Neural language models, and an explanation of recurrent neural networks
Chapters
0:00 Introduction
1:54 Neural N-Gram Models
6:03 Recurrent Neural Networks
11:47 LSTM Cells
12:22 Outro
Chapters
0:00 Introduction
1:54 Neural N-Gram Models
6:03 Recurrent Neural Networks
11:47 LSTM Cells
12:22 Outro
This is the 5th video in a series on using large language models (LLMs) in practice. Here, I discuss how to fine-tune an existing LLM for a particular use case and walk through a concrete example with Python code.
Timestamps:0:00 – Who this was made for0:41 – What are large language models?7:48 – Where to learn more
The following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walkthrough here, and the representation of these “nudges” in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen’s book or…
What is Generative AI and how does it work? What are common applications for Generative AI? Watch this video to learn all about Generative AI, including common applications, model types, and the fundamentals for how to use it.
In a society that is confronting the new age of AI in which LLMs begin to display aspects of human intelligence, understanding the fundamental theory of deep learning and applying it to real systems is a compelling and urgent need. This panel will introduce some new simple foundational results in the theory of supervised learning….