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.

Jupyter Notebookpythondeep-learningartificial-intelligenceopenailanguage-modelsgpt-4gpt4large-language-modelsprompt-engineeringchatgptlangchainllama2
This is stars and forks stats for /curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain repository. As of 08 May, 2024 this repository has 442 stars and 147 forks.

Get SH*T Done with Prompt Engineering and LangChain Build real-world AI apps with ChatGPT/GPT-4 and LangChain in Python 🍿 Watch on YouTube Getting Started with LangChain and Llama 2 in 15 Minutes Fine-tuning Llama 2 on Your Own Dataset Deploy LLM to Production on Single GPU Chat with Multiple PDFs using Llama 2 and LangChain 📖 Read the Tutorials LangChain LangChain QuickStart with Llama 2 Load Custom Data with Loaders Add AI with Models Make LLMs Useful with Chains Build Chatbots with Memory Complex...
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