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Learn to build LangChain Agents using version 0.3 in this comprehensive tutorial that demonstrates how to enhance large language models with external tools and capabilities. Discover the fundamentals of LangChain Agents and understand how they enable LLMs to perform tasks beyond their standard capabilities by integrating tools like search engines and calculators. Explore the process of creating and implementing tools that agents can utilize to solve complex problems, then progress to building your first agent from scratch using OpenAI's gpt-4o-mini model. Master the Agent Executor component that manages the interaction between agents and their tools, ensuring smooth execution of multi-step tasks. Conclude by developing a practical web search agent that can retrieve and process information from the internet, demonstrating real-world applications of agent-based AI systems.
Syllabus
00:00 LangChain Agents 101
01:27 Introduction to Tools
07:05 Creating an Agent
11:27 Agent Executor
18:02 Web Search Agent
Taught by
James Briggs