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FreeFunctions, Tools and Agents with LangChain
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This course focuses on getting language models to return structured results, including function calls, instead of plain text you have to parse by hand. It is designed to keep you current as the libraries around LLMs keep changing.
Readers comfortable with Python who have written prompts before will find the material approachable. The conversational agent you assemble brings these pieces together into one working application. Throughout, the emphasis stays on applying each technique to a task rather than only describing it.
The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. This course is designed to keep you ahead of these changes.
You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.
After taking this course, you’ll know how to:
Start applying these new capabilities to build and improve your applications today.
Who should join?
Anyone who’s interested in learning about the latest tools to build LLM-based applications. Basic Python knowledge and a familiarity with writing prompts for LLMs is recommended.
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