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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
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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.
awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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.
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
mindsdb
AI Analytics Engine that can answer questions over large scale data. - The only MCP Server you'll ever need
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.