- From deeplearning.ai
LangChain for LLM Application Development
МООК
en
Английский
1 h
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- Self-paced
- Free Access
- Introductive Level
Course details
Syllabus
In this course you will learn and get experience with the following topics:
- Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response
- Memories for LLMs: memories to store conversations and manage limited context space
- Chains: creating sequences of operations
- Question Answering over Documents: apply LLMs to your proprietary data and use case requirements
- Agents: explore the powerful emerging development of LLM as reasoning agents.
Prerequisite
LangChain for LLM Application Development is a beginner-friendly course. Basic Python knowledge will help you get the most out of this course.
Instructors
Harrison Chase
Instructor - Co-Founder and CEO at LangChain
Andrew Ng
Instructor - Founder, DeepLearning.AI; Co-founder, Coursera
Editor
Whether you want to build algorithms or build a company, deeplearning.ai’s courses will teach you key concepts and applications of AI.
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