1 link tagged with all of: machine learning + llm training + transformer architecture + anthropic
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Stanford posted a 1h44 CS229 lecture that explains how to build large language models from scratch. Engineers with those skills can command over $750,000 a year at firms like Anthropic.
- Anthropic reportedly pays 750,000+ dollars a year to engineers who can build LLMs from scratch.
- Stanford's CS229 lecture (1h44m, free) teaches the actual mechanics of building LLMs—transformer math, training objectives, and code.
- The lecture covers attention mechanisms, training loop setup, techniques to prevent model collapse, and fine-tuning for tasks like summarization and QA.
- It's claimed to go deeper than the in-house training typically offered at major AI labs.