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The Essential Role of Logic Agents in Enhancing MoE AI Architecture for Robust Reasoning
[Discussion] This might be a really dumb question regarding current training method...
What's the best AI agent that you are using or you have built? Any success with agents?
[R] Improving Generalist Reward Models with Self-Principled Critique Tuning and Inference-Time Scaling
New paper from DeepSeek w/ model coming soon: Inference-Time Scaling for Generalist Reward Modeling
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best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
mindsdb
AI Analytics and Knowledge Engine for RAG over large-scale, heterogeneous data. - The only MCP Server you'll ever need