What You'll Learn
- Explore the latest advancements in LLM APIs.
- Use LangChain Expression Language (LCEL) to quickly compose and customize chains and agents.
- Build and refine a conversational agent with the new LCEL syntax and function calling.
About This Course
This course keeps you up-to-date with the latest in LLM capabilities, exploring recent advancements like ChatGPT’s function calling and the
LangChain Expression Language (LCEL). You’ll learn to build a conversational agent that performs tasks such as tagging, data extraction, and
tool selection, while also mastering LCEL for efficient customization.
- Generate structured outputs and function calls using LLMs.
- Leverage LCEL to customize chains and agents with ease.
- Implement function calling for tasks such as tagging and data extraction.
- Use LangChain tools for advanced tool selection and routing.
By the end of this course, you’ll be equipped to build and improve applications using the latest LangChain tools and LLM advancements.
Course Outline
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Introduction
Overview of recent advancements in LLM APIs and LangChain tools.
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OpenAI Function Calling
Explore OpenAI’s function calling capability with practical code examples.
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LangChain Expression Language (LCEL)
Introduction to LCEL syntax for faster customization of chains and agents.
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OpenAI Function Calling in LangChain
Integrate OpenAI’s function calling within LangChain for versatile applications.
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Tagging and Extraction
Implement function calling for tasks such as tagging and data extraction with code examples.
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Tools and Routing
Use LangChain’s tools for selecting and routing tasks based on LLM output.
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Conversational Agent
Build a conversational agent using LCEL and function calling.
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Conclusion
Summary of course concepts and final insights on building LLM applications.
Who Should Join?
This course is ideal for those interested in the latest tools for building LLM-based applications. Basic Python knowledge and familiarity with
LLM prompt writing is recommended.