Overview
Learn how to effectively use prompt templates in LangChain for GPT-3.5 and other large language models. Explore PromptTemplates, FewShotPromptTemplates, and example selectors to enhance prompt engineering capabilities. Discover techniques for structuring prompts, implementing few-shot learning, and utilizing length-based example selectors. Gain insights into the importance of prompts and their role in building advanced applications with LLMs. Follow along with code examples and practical demonstrations to master these essential LangChain features for creating powerful language model applications.
Syllabus
Why prompts are important
Structure of prompts
Langchain code Setup
Langchain's PromptTemplates
Few shot learning with LLMs
Few shot prompt templates in Langchain
Length-based example selectors
Other Langchain example selectors
Final notes on prompts + Langchain
Taught by
James Briggs