Episodes (Page 9)
✨
Presents Nash Mirror Prox (NashMP) for LLM alignment.
✨
Introduces MiniMax-M1 for efficient processing of large inputs.
Lightning Attention
✨
Presents Direct Reasoning Optimization (DRO) for LLM reasoning.
✨
Explores AI integration into the US workforce.
✨
Introduces LLaMA Factory for easy LLM fine-tuning.
✨
Details Project Vend: Claude autonomously managing a small shop.
✨
Describes Self-Adapting Language Models (SEAL) for autonomous learning.
✨
Challenges claims of fundamental reasoning failures in LRMs.
✨
Compares Large Reasoning Models (LRMs) to standard LLMs.
✨
Introduced minimum attention for meta-RL.
Minimum Attention
✨
RLHF subtly persuades users via embedded values.
✨
RL optimizes assembly code with LLMs.
✨
FileFix uses address bar for PowerShell commands.
✨
Offline RL framework for unmeasured confounding.
✨
DRL optimizes air purification booth placement.
✨
NS-NAC algorithm for non-stationary environments.
✨
Offline RL for personalized policies from diverse data.
✨
SeRA mitigates spurious correlations in RLHF.
✨
AXIOM uses object-centric models and active inference.
✨
Policy entropy declines rapidly in RL for LLMs, limiting exploration.