January 2025
8 min read
AI/ML
Building Agentic AI Systems with LangChain
A comprehensive guide to creating autonomous AI agents using LangChain and local LLMs for real-world applications.
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A comprehensive guide to creating autonomous AI agents using LangChain and local LLMs for real-world applications.
Strategies for optimizing large language models to run efficiently on local hardware with minimal resource usage.
Bridging the gap between academic NLP research and production-ready applications with practical implementation strategies.
Designing complex AI automation pipelines using LangGraph for multi-step reasoning and decision-making processes.
Using satellite data and AI to create climate-resilient urban development strategies and smart city planning.
Best practices for developing scalable, secure, and intelligent chatbot systems with modern AI frameworks.