Tutorials and example projects for building applications using generative AI.

This repository contains code and tutorials for leveraging generative AI models to create powerful applications. The tutorials explore the capabilities of these models across various modalities, including:

• Input: Look, Read, Listen
• Actions: Think, Move
• Output: Write, Draw, Say

Learn how to build a generative search engine powered by a locally hosted LLM. This tutorial demonstrates how to perform online searches with local LLM. This project combines read, move, and write capabilities.

• Tutorial Article
• Code

Explore how to build a podcast summarizer application using Whisper (for speech-to-text) and LLM (for summarization). Both models can be run completely locally. This project showcases how to combine listen and write capabilities of generative AI models.

• Code

• Local-LLM-Comparison-Colab-UI: Colab WebUI for many local LLMs that can be run on consumer-grade graphics card or on CPU.
• AI-Professional-Prompts: a collection of GPT prompts that are carefully designed to provide more consistent, high-quality results

Stay tuned for more exciting tutorials and projects as we continue to explore the potential of generative AI in creating innovative and powerful applications.