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Why MCP is necessary: MCP helps you build agents and complex workflows on top of LLMs.
[R] Evaluating Multi-Step Spatial Reasoning in MLLMs Through LEGO-Based Visual Tasks
"Our GPUs are melting" ChatGPT image generation is too popular for its own good, OpenAI announces rate limits
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Popular models from Hugging Face• Updated 42 minutes ago
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Popular repositories from GitHub• Updated about 1 hour ago
activepieces
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.