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 dustintran.com
On asymptotic convergence of averaged SGD | Dustin Tran
| | cgad.ski
When Gradient Descent Is a Kernel Method
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| | bdtechtalks.com
A simple guide to gradient descent in machine learning - TechTalks
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| | Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.
| | windowsontheory.org
A blitz through classical statistical learning theory - Windows On Theory
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| | Previous post: ML theory with bad drawings Next post: What do neural networks learn and when do they learn it, see also all seminar posts and course webpage. Lecture video (starts in slide 2 since I hit record button 30 seconds too late - sorry!) - slides (pdf) - slides (Powerpoint with ink and animation)...
| | amatria.in
Transformer models: an introduction and catalog?-?2023Edition - AI, software, tech, and people. Not in that order. By X
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| [AI summary] The provided text is an extensive overview of various large language models (LLMs) and their architectures, training tasks, and applications. It includes detailed descriptions of models like GPT, T5, BERT, and others, along with their pre-training objectives, parameter counts, and specific use cases. The text also references key research papers, surveys, and resources for further reading on LLMs and related topics.