The era we are living through in language modeling research is one characterized by complete faith that reasoning and new reinforcement learning (RL) training methods will work. This is well-founded. A day | cannot | go | by | without | a new | reasoning model , RL training result , or dataset distilled from DeepSeek R1 . The difference, compared to the last time RL was at the forefront of the AI world with the fact that reinforcement learning from human feedback (RLHF) was needed to create ChatGPT, is that we have way better infrastructure than our first time through this. People are already successfully using TRL , OpenRLHF , veRL , and of course, Open Instruct (our tools for Tülu 3 /OLMo) to train models like this. […]
Original web page at www.interconnects.ai
