DSPy integration #921
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DSPy integration #921
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…tron-batch-validation
Assertion dataset
* feat: `run_lcb.sh` runs without error until data loading * fix: run_lcb runs until trace collection * feat: run_lcb.py runs --------- Co-authored-by: J-Ch-n <jiashuchen@berkeley.edu>
* feat: preliminary Hover to be tested * feat: Hover ready for testing * feat: add run script for Hover; TODO: final reward func * feat: add hover/data.py * feat: add `hover_final_reward_fn` * working hover with final reward only * Change of logging and litellm version * slight change * sig change --------- Co-authored-by: J-Ch-n <jiashu.chen@berkeley.edu>
* feat: add banking77 folder * feat: ready to test banking77 * fix: banking77 runs on lambda * feat: banking77 works * fix: minor changes * fix: change reward function * fix: update start script and reward functions --------- Co-authored-by: J-Ch-n <jiashuchen@berkeley.edu>
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This is a DSPy integration that allows targeted training on a modular level within a compound AI system. Rollouts and trace collection are both done using DSPy. This also supports custom reward design, for both local and final reward.