RealFeedApp Training a 9B model took only three minutes
Researchers trained reasoning agents on 0.8B, 2B, and 9B parameter models using tools to track the board state, enabling good performance with relatively few parameters.
- Field
- training language models
- What they did
- The researcher trained a language model with 0.8B to 9B parameters to play chess, using special thinking tokens and tools to track the board state.
- Why it matters
- This setup allows the model to generate justifiable moves that can be verified, making the task ideal for reinforcement learning.
#llm#chess#reinforcement learning#tools#reasoning
