New Features of MSTY

In this livestream, Matt Williams explores the latest features of MSTY, a tool for interacting with AI models like Ollama. He begins by discussing his recent subscription changes from ChatGPT to Ollama due to cost considerations. Matt then dives into the MSTY interface, highlighting new features such as creating Ollama-compatible models from Hugging Face and open router support. He demonstrates how to use MSTY to add knowledge stacks, including linking to an Obsidian vault for RAG (Retrieval-Augmented Generation) purposes. Matt walks through the process of integrating and managing models, showing how to search for and install models directly from Hugging Face. He also explores the new embedding features, allowing for more efficient data handling and querying. Throughout the livestream, Matt addresses questions from the audience, discussing topics like the differences between MSTY and other tools like Anything LLM, the benefits of using local AI models, and the challenges of running large models on limited hardware. He emphasizes the importance of understanding endpoint configuration, payload structuring, and response parsing when integrating different AI services. The session also covers the use of MSTY’s parallel chatting capabilities, although Matt encounters some issues with this feature. He concludes by comparing MSTY to other tools and discussing the strengths and weaknesses of each, particularly in terms of user interface and functionality.