https://github.com/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.
https://github.com/curiousily/get-things-done-with-prompt-engineering-and-langchain

artificial-intelligence chatgpt deep-learning gpt-4 gpt4 langchain language-models large-language-models llama2 openai prompt-engineering python

Last synced: about 2 months ago
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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.

• Host: GitHub
• URL: https://github.com/curiousily/get-things-done-with-prompt-engineering-and-langchain
• Owner: curiousily
• License: apache-2.0
• Created: 2023-04-12T21:11:48.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-01-07T15:10:58.000Z (9 months ago)
• Last Synced: 2024-08-01T03:49:34.266Z (about 2 months ago)
• Topics: artificial-intelligence, chatgpt, deep-learning, gpt-4, gpt4, langchain, language-models, large-language-models, llama2, openai, prompt-engineering, python
• Language: Jupyter Notebook
• Homepage: https://www.mlexpert.io/bootcamp
• Size: 15.1 MB
• Stars: 1,047
• Watchers: 19
• Forks: 341
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ChatGPT-repositories - 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. (Prompts)

README

        
# Get SH\*T Done with Prompt Engineering and LangChain

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

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain/)

[![](https://dcbadge.vercel.app/api/server/UaNPxVD6tv?style=flat)](https://discord.gg/UaNPxVD6tv)

[![](https://img.shields.io/youtube/channel/subscribers/UCoW_WzQNJVAjxo4osNAxd_g?label=Watch%20on%20YouTube)](https://bit.ly/venelin-subscribe)

[![](https://img.shields.io/github/license/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain)](https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain/blob/master/LICENSE)

## 🍿 Watch on YouTube

- [Getting Started with LangChain and Llama 2 in 15 Minutes](https://www.youtube.com/watch?v=7VAGe32YptI)

- [Fine-tuning Llama 2 on Your Own Dataset](https://www.youtube.com/watch?v=MDA3LUKNl1E)

- [Deploy LLM to Production on Single GPU](https://www.youtube.com/watch?v=HI3cYN0c9ZU)

- [Chat with Multiple PDFs using Llama 2 and LangChain](https://www.youtube.com/watch?v=QshWJ77Sktc)

- [AutoGen - Build Powerful AI Agents with ChatGPT/GPT-4](https://www.youtube.com/watch?v=mJfHMlKL7Qc)

## 📖 Read the Tutorials

### LangChain

- [LangChain QuickStart with Llama 2](https://www.mlexpert.io/prompt-engineering/langchain-quickstart-with-llama-2)

- [Load Custom Data with Loaders](https://www.mlexpert.io/prompt-engineering/loaders)

- [Add AI with Models](https://www.mlexpert.io/prompt-engineering/models)

- [Make LLMs Useful with Chains](https://www.mlexpert.io/prompt-engineering/chains)

- [Build Chatbots with Memory](https://www.mlexpert.io/prompt-engineering/memory)

- [Complex Tasks with Agents](https://www.mlexpert.io/prompt-engineering/agents)

### Models

- [StableVicuna - Open Source RLHF LLM Chatbot](https://www.mlexpert.io/prompt-engineering/stable-vicuna)

- [OpenLLaMa - An Open Reproduction of LLaMA](https://www.mlexpert.io/prompt-engineering/open-llama)

- [XGen-7B: Long Sequence Modeling with (up to) 8K Tokens](https://www.youtube.com/watch?v=6YMOCaXGUDA)

- [Falcon 180B](https://www.mlexpert.io/prompt-engineering/falcon-180b)

### Projects

- [Fine-tuning Llama 2 on a Custom Dataset](https://www.mlexpert.io/prompt-engineering/fine-tuning-llama-2-on-custom-dataset)

- [Chat with Multiple PDFs using Llama 2 and LangChain](https://www.mlexpert.io/prompt-engineering/chat-with-multiple-pdfs-using-llama-2-and-langchain)

- [Chatbot with Local LLM (Falcon 7B) and LangChain](https://www.mlexpert.io/prompt-engineering/chatbot-with-local-llm-using-langchain)

- [Private GPT4All: Chat with PDF Files Using Free LLM](https://www.mlexpert.io/prompt-engineering/private-gpt4all)

- [CryptoGPT: Crypto Twitter Sentiment Analysis](https://www.mlexpert.io/prompt-engineering/cryptogpt)

- [Fine-tuning LLM (Falcon 7b) on a Custom Dataset with QLoRA](https://www.mlexpert.io/prompt-engineering/fine-tuning-llm-on-custom-dataset-with-qlora)

- [Deploy LLM to Production with HuggingFace Inference Endpoints](https://www.mlexpert.io/prompt-engineering/deploy-llm-to-production)

- [Support Chatbot using Custom Knowledge Base with LangChain and Open LLM](https://www.mlexpert.io/prompt-engineering/support-chatbot-using-custom-knowledge-base-with-langchain)

- [Deploy Your Private Llama 2 Model to Production with RunPod](https://www.mlexpert.io/prompt-engineering/deploy-llama-2-on-runpod)

- [AutoGen - Build Powerful AI Agents with ChatGPT/GPT-4](https://www.mlexpert.io/prompt-engineering/autogen-build-ai-agents)