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https://arxiv.org/abs/2407.14482 ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG CapabilitiesIn this work, we introduce ChatQA 2, an Llama 3.0-based model with a 128K context window, designed to bridge the gap between open-source LLMs and leading proprietary models (e.g., GPT-4-Turbo) in long-context understanding and retrieval-augmented generatioarxiv.org RAG를 통해 GPT를 이겨보..

https://dl.acm.org/doi/10.1145/3579607 From Bias to Repair: Error as a Site of Collaboration and Negotiation in Applied Data Science Work | Proceedings of the ACM on HManaging error has become an increasingly central and contested arena within data science work. While recent scholarship in artificial intelligence and machine learning has focused on limiting and eliminating error, practitioners h..