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co/spaces/Praxel/praxy-voice-demo","githubRepo":"https://github
from the top result below
https://huggingface.co/papers?q=companion
T_{eff}, R, L and log g,\nare calculated by model fitting
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/trending
8T scale, Kimi K3 is supported by infrastructure advances in multiple areas: algorithm-system co-design for KDA, perfectly balanced expert-parallel training with efficient memory management, million-token agentic RL with persistent rollout and sandbox states, and deployment innovations
https://huggingface.co/papers?q=reflective%20essays
","upvotes":3,"discussionId":"6679affcf926ce3cf48fd0d1","githubRepo":"https://github
https://huggingface.co/papers?q=role-play
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https://huggingface.co/papers?q=persona
We confirm that these vectors can be used to monitor fluctuations in the Assistant's personality at deployment time
https://huggingface.co/docs/hub/repositories-github-actions
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