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🦜🔗 Build context-aware reasoning applications
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Democratizing Reinforcement Learning for LLMs
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A comprehensive guide to building RAG-based LLM applications for production.
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Maps that show time instead of space