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🚀Jittor is a framework that uses JIT compilation and meta-operators to optimize computations right at runtime.
The project combines the simplicity of the Python interface with low-level compilation in C++/CUDA. Unlike traditional graph approaches, it dynamically compiles operations for a specific model, which can potentially speed up the execution of complex networks.
🤖 GitHub
The project combines the simplicity of the Python interface with low-level compilation in C++/CUDA. Unlike traditional graph approaches, it dynamically compiles operations for a specific model, which can potentially speed up the execution of complex networks.
🤖 GitHub
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✅ Cron intuitivo
✅ Variables seguras
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✅ Docker-friendly
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Learn to build intelligent agents from scratch using LangChain, LangGraph, and LLMs to solve real-world business tasks.
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Discover how to deliver business-ready agentic AI solutions with 8+ real-world projects and open-source integrations.
Stay ahead in AI with tools like AutoGen Core, Anthropic’s MCP, and repeatable Agentic patterns for robust AI development.
Agentic AI Engineering: Build RealWorld Autonomous AI Agents
🎟 791
What you'll learn
Learn to build intelligent agents from scratch using LangChain, LangGraph, and LLMs to solve real-world business tasks.
Get hands-on with state management, structured outputs, and dynamic agent behavior to create responsive, scalable AI systems.
Develop collaborative agent ecosystems that communicate and solve complex challenges using cutting-edge agent architecture.
Build autonomous agents for coding, research, and task automation using CrewAI, OpenAI SDK, and proven AI design patterns.
Discover how to deliver business-ready agentic AI solutions with 8+ real-world projects and open-source integrations.
Stay ahead in AI with tools like AutoGen Core, Anthropic’s MCP, and repeatable Agentic patterns for robust AI development.
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