Paper Summaries¶
A few paper summaries of the most influential and interesting papers in LLMs.
Categories¶
🎯 Alignment¶
Alignment techniques and fine-tuning methods for LLMs.
🏗️ Architecture¶
Novel architectures and efficiency improvements.
🗜️ Context Optimization¶
Context compression and KV cache optimization.
🤖 LLM Systems¶
Agent learning and agentic systems.
⚡ Low Precision¶
Quantization and low-precision training techniques.
🔍 Retrieval¶
Embeddings and retrieval systems.
🎮 RL Training¶
Reinforcement learning methods for LLMs.