Get-Things-Done-with-Prompt-Engineering-and-LangChain and prompt-engineering-basics

About Get-Things-Done-with-Prompt-Engineering-and-LangChain

curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

This project helps AI application developers build custom applications with large language models like ChatGPT. It guides you through integrating your own data sources, creating intelligent agents, and building chatbots that can understand and respond to specific queries. The output is a functional AI application, such as a sentiment analyzer for social media or a chatbot that can answer questions based on your documents. AI/ML engineers and data scientists looking to leverage LLMs for bespoke solutions are the target users.

About prompt-engineering-basics

younis-ali/prompt-engineering-basics

This repository covers the basis of prompt engineering using LangChain and OpenAI.