Functions, Tools and Agents with LangChain

Jupyter notebooks for course Functions, Tools and Agents with LangChain, taught by Harrison Chase (Co-Founder and CEO at LangChain).

Course Topics

Learn and apply the new capabilities of LLMs as a developer tool.

Learn about the most recent advancements in LLM APIs.
Use LangChain Expression Language (LCEL), a new syntax to compose and customize chains and agents faster.
Apply these new capabilities by building up a conversational agent.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
L1-openai_functions_student.ipynb		L1-openai_functions_student.ipynb
L2-lcel-student.ipynb		L2-lcel-student.ipynb
L3-function-calling-student.ipynb		L3-function-calling-student.ipynb
L4-tagging-and-extraction-student.ipynb		L4-tagging-and-extraction-student.ipynb
L5-student.ipynb		L5-student.ipynb
L5-tools-routing-apis-student.ipynb		L5-tools-routing-apis-student.ipynb
L6-functional_conversation-student.ipynb		L6-functional_conversation-student.ipynb
README.md		README.md