True Positive Weekly #156
The most important artificial intelligence and machine learning news and articles
Hey, in this issue: Components of a coding agent; Quantization from the ground up; Gemma 4: Byte for byte, the most capable open models; Simulate realistic users to evaluate multi-turn AI agents; A self-improving AI agent; The art of scaling reinforcement learning compute for LLMs; Eigenvectors and eigenvalues explained visually; and more.
[Explained] Quantization from the ground up
[Google] Gemma 4: Byte for byte, the most capable open models
[AWS] Simulate realistic users to evaluate multi-turn AI agents in Strands Evals
[Explained] Components of a coding agent
[Project] Hermes agent: A self-improving AI agent
[ChapterPal] The art of scaling reinforcement learning compute for LLMs
[Explained] Eigenvectors and eigenvalues explained visually
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