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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.
Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.
LLM Agent that performs sentiment analysis of drawings and natural language using a combination of Google Gemini Vision model and GPT-4 Turbo with LlamaIndex.
Translate Markdown files from one language to another using OpenAI's API while retaining original formatting. This Jupyter notebook tokenizes input text, splits into chunks, translates with OpenAI, and reconstructs output to preserve Markdown structure. Useful for localizing documentation, articles, books, and other long-form Markdown content.
Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.