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.
Deep reinforcement learning for engineering design through
Electronics, Free Full-Text
mPMR: A Multilingual Pre-trained Machine Reader at Scale: Paper
Reinforcement Learning as a fine-tuning paradigm
5: GPT-3 Gets Better with RL, Hugging Face & Stable-baselines3, Meet Evolution Gym, Offline RL's Tailwinds
Two-step training process in line with pre-training and fine
How are reinforcement learning and deep learning algorithms used
Reinforcement Learning Pretraining for Reinforcement Learning Finetuning
Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU
Mina Khan (@minakhan01) / X
Fine-Tuning Language Models Using Direct Preference Optimization