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Welcome back to Coding with Verrol! In this *fifth* episode of our series, we take a deep dive into the Msty user interface, exploring its many powerful features that make working with Ollama and local language models a breeze. We'll start by understanding the organization within Msty: Workspaces, Folders, and individual Conversations. Learn how to create and manage these to keep your AI interactions organized. Next, we'll look at updating Msty, accessing settings (including themes and model providers like OpenAI and Gemini). A key focus will be the *Knowledge Stack* feature. See how you can add collections of files, notes (like Obsidian), or even YouTube transcripts to give your models specific context for generating responses. We'll also explore the *Prompt Library* for getting started with pre-written prompts. Discover how to leverage *Real-time Data* to allow Msty to search the web and provide your model with up-to-date information, including seeing and managing the sources used. Finally, we'll touch on other useful features like stopping generation, chat options (bookmark, export), *Splitting Chat Windows* for comparing models side-by-side, and a glimpse into the *Visual Chat Map* for understanding conversation branches. We'll also demonstrate *Multimodal* capabilities by having a model analyze a PDF document! Msty is packed with features to enhance your local AI workflow. Tune in to learn how to unlock its full potential! If you're finding this series helpful, please give this video a thumbs up and leave a comment with your favorite Msty feature! Subscribe to Coding with Verl for more AI and coding content, and hit the notification bell so you don't miss the next episode! Thanks for watching! #CodingWithVerl #Msty #Olama #AI #LLM #UItutorial #AIFeatures #KnowledgeStack #MultimodalAI #PromptLibrary #RealTimeAI #LocalAI #TechTutorial #Episode5