lampts / 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 for chat with PDF files, cryptocurrency tweets sentiment analysis.

Get SH*T Done with Prompt Engineering and LangChain

Build real-world AI apps with ChatGPT/GPT-4 and LangChain in Python

📖 Read the Tutorials

LangChain

• LangChain Quickstart
• Load Custom Data with Loaders
• Add AI with Models
• Make LLMs Useful with Chains
• Build Chatbots with Memory
• Complex Tasks with Agents

Models

• StableVicuna - Open Source RLHF LLM Chatbot
• OpenLLaMa - An Open Reproduction of LLaMA

Projects

• Private GPT4All: Chat with PDF Files Using Free LLM
• CryptoGPT: Crypto Twitter Sentiment Analysis
• Fine-tuning LLM (Falcon 7b) on a Custom Dataset with QLoRA