Exploring Large Language Models with LangChain
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Learn how to leverage LangChain for building powerful language model applications in this 33-minute tech talk presented by Anaconda Data Scientist Sophia Yang. Discover the key capabilities of this open-source framework, including integration with multiple LLM providers like OpenAI, Cohere, and Huggingface. Master essential features such as creating question-answering bots, implementing text summarization with custom documents, managing chat history through LangChain Memory, and chaining multiple LLMs together. Explore practical applications by connecting language models with various tools including Google Search and Python REPL. Gain hands-on experience with core concepts like Memory, Chains, Tools, Agents, and document handling to effectively build and deploy LLM-powered applications.
Syllabus
Introduction
LangChain
Working with LLMs
Memory
Chains
Tools
Agent
Documents
Taught by
AICamp