LangChain Agent Tools (7.2)

In this Python notebook, discover how LangChain agents leverage specialized tools to enhance the capabilities of Large Language Models (LLMs). This tutorial delves into the limitations of LLMs, such as their inability to access real-time information or perform precise mathematical calculations. Learn how to overcome these challenges by integrating tools like search engines and custom math calculators into your LangChain agents. We guide you through setting up basic and secure math tools, demonstrating how these agents can autonomously execute complex workflows and provide accurate, real-time solutions.

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