First screen, captured .
350 points by gpjt | 26 comments
Blog post, part 8 of a series working through Raschka's 'Build a Large Language Model (from Scratch)', explaining self-attention with trainable weights.
482 points by gpjt | 101 comments
Blog post, part 28 of a series, describing an experiment training a ~163M-parameter base LLM from scratch on a single RTX 3090 at home.
532 points by gpjt | 106 comments
Blog post by Giles Thomas explaining the high-school-level maths (vectors, matrices, high-dimensional spaces) needed to understand LLM inference.
82 points by croqaz | 22 comments
350 points by gpjt | 26 comments
Blog post, part 8 of a series working through Raschka's 'Build a Large Language Model (from Scratch)', explaining self-attention with trainable weights.
482 points by gpjt | 101 comments
Blog post, part 28 of a series, describing an experiment training a ~163M-parameter base LLM from scratch on a single RTX 3090 at home.
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.
690 points by karimf | 222 comments
Blog post by Alex Woods arguing against using LLMs to write documents and essays, since writing is a way to think and build trust.
369 points by UglyToad | 199 comments
Blog post by Eliot Jones explaining how PDF parsing should work per the spec, covering headers, cross-reference tables, object offsets and trailers, and its real-world pitfalls.
336 points by CharlesW | 121 comments
MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.