How LangChain Works To Create AI Agents | Building AI Agents Explained | #Shorts #Simplilearn
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In this Shorts video, we explain how LangChain works to create AI agents in a simple and beginner-friendly way. LangChain is a framework that helps developers connect a large language model with tools, memory, and external data sources. This means the AI does not just give one basic reply. It can understand the user’s prompt, decide what steps to take, use tools like web search, APIs, databases, or PDFs, remember previous context, and then generate a more useful response. In simple words, LangChain acts like a bridge between an LLM and real-world actions. That is why it is widely used to build smart chatbots, AI assistants, automation tools, and AI agents that can actually complete tasks.
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The Generative AI and Machine Learning course enriches your career journey with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it offers live virtual sessions, projects with integrated labs, and masterclasses by IIT Guwahati faculty.
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