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This article describes AI-My-Chats, a tool that uses AI to capture fragmented enterprise knowledge from chats and other sources at low cost (~$5/month), with support for open-source models and new GitHub Issues integration.
This paper introduces Wnuan, a three-stage post-training pipeline for enterprise question answering that combines task-oriented supervision, supervised fine-tuning with general-data replay, and reinforcement learning on residual errors, achieving large gains on the WnuanBench benchmark while measuring general capability costs.
DeepSearcher is an open-source tool that combines LLMs and vector databases to enable deep research on private data, providing accurate answers and reports for enterprise knowledge management and intelligent Q&A systems.