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shjavokhir/quant-alpha
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I want to add a new evaluation metric to DARWIN's alpha pruning step. Where in the codebase is the per-alpha evaluation logic, and what metrics does it currently compute?
How does DARWIN's memory layer work? Walk me through how past alpha results get stored in MongoDB Atlas and how Voyage AI embeddings find similar alphas during proposal.
I want to swap Gemini for a different LLM as the alpha proposer in DARWIN. Which file controls the proposer model and what interface does a replacement need to match?
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