Reinforcement Learning should be better seen as a “fine-tuning” paradigm that can add capabilities to general-purpose foundation models, rather than a paradigm that can bootstrap intelligence from scratch.
arxiv-sanity
5: GPT-3 Gets Better with RL, Hugging Face & Stable-baselines3, Meet Evolution Gym, Offline RL's Tailwinds
Electronics, Free Full-Text
Multi-agent deep reinforcement learning: a survey
RLHF & DPO: Simplifying and Enhancing Fine-Tuning for Language Models
Mina Khan (@minakhan01) / X
Spectra - A New Paradigm for Exploiting Pre-trained Model Hubs
The AiEdge+: How to fine-tune Large Language Models with Intermediary models
5: GPT-3 Gets Better with RL, Hugging Face & Stable-baselines3, Meet Evolution Gym, Offline RL's Tailwinds
Deep Reinforcement Learning: Definition, Algorithms & Uses
The AiEdge+: How to fine-tune Large Language Models with Intermediary models
RLHF & DPO: Simplifying and Enhancing Fine-Tuning for Language Models
Prompting: Better Ways of Using Language Models for NLP Tasks
