A comprehensive practical project for building Retrieval-Augmented Generation (RAG) systems, covering the full implementation process from basic to advanced techniques, including system design, evaluation, and optimization.
MLE-Agent is an intelligent companion for machine learning engineers and researchers that automates ML/AI baseline creation, participates in Kaggle competitions, integrates with ArXiv and Papers with Code, provides smart debugging capabilities, and supports multiple AI models through a comprehensive chat interface.
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