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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: 19 days ago
JSON representation

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 (10 months ago)
Last Synced: 2024-10-18T22:39:37.874Z (24 days 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://mlexpert.io
Size: 15.1 MB
Stars: 1,099
Watchers: 18
Forks: 347
Open Issues: 8
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

jimsghstars - 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 us (Jupyter Notebook)
awesome-chatgpt - curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain - Tutorials and guides on prompt engineering with LangChain and ChatGPT/GPT-4, covering topics such as data loading, indexing, prompt templates, CSV agents, and retrieval QA chains. Projects include using a private LLM (Llama 2) for chat with PDF files and tweets sentiment analysis. (Documentation and examples / Prompt engineering)

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)