About
A guide to building a working reasoning model from the ground up, by Sebastian Raschka.
Features
- Step-by-step implementation of reasoning model architecture in PyTorch.
- Covers chain-of-thought prompting and self-consistency decoding.
- Includes Monte Carlo tree search for reasoning paths.
- Discusses process reward modeling and data generation.
- Explores test-time compute trade-offs for performance scaling.
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