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GitHub - rentruewang/bocoel: Bayesian Optimization as a Coverage Tool for Evaluating LLMs. 10 times faster and accurate evaluation with just a few lines of modular code.

☂️ BoCoEL Bayesian Optimization as a Coverage Tool for Evaluating Large Language Models 🤔 Why BoCoEL? Large language models are expensive and slow behemoths, and evaluating them on gigantic modern datasets only makes it worse. If only there is a way to just select a meaningful (and small) subset of the corpus and obtain a highly accurate evaluation..... Wait, sounds like Bayesian Optmization! Bocoel works in the following steps: Encode individual entry into embeddings (way cheaper / faster than...

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