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com/Echoslayer/XAI_From_Classical_Models_to_LLMs","githubRepoAddedBy":"auto","ai_summary":"The book provides a comprehensive guide to XAI, covering interpretability techniques for both traditional models and complex deep learning architectures, with practical applications and case studies in healthcare, finance, and
from the top result below
https://huggingface.co/papers?q=companion
We will release our code on a companion link:\nhttps://github
https://huggingface.co/datasets/microsoft/benchpress-score-matrix
00933 defines the full MCP-Atlas benchmark as 1,000 tasks over 36 real MCP servers and 220 tools; the ScaleAI/MCP-Atlas HF card and scaleapi/mcp-atlas GitHub repo expose the public release as 500 evaluation prompts/tasks, matching this MCPAtlas Public benchmark row
https://huggingface.co/papers?q=reflective%20essays
","upvotes":3,"discussionId":"6679affcf926ce3cf48fd0d1","githubRepo":"https://github