Question: Can you recommend an open-source platform for experimenting with different AI models locally?

If you want an open-source foundation to try different AI models on your own machine, Airtrain AI is a good option. This no-code compute foundation offers an LLM Playground where you can fine-tune more than 27 models, and it's designed to be easy to use with features like AI Scoring to evaluate models and a Community Support system. It also offers tiered pricing that's flexible, including a free Starter plan, so it can be used for a variety of needs.

Another good option is Zerve. The service lets you run and manage GenAI and LLMs in your own infrastructure for greater control and faster deployment. Zerve includes an environment that combines notebooks and integrated development environment (IDE) software, supports multiple languages for interoperability, and can be self-hosted on AWS, Azure or GCP. It's geared for data science teams that need to balance collaboration and stability.

If you're looking for a more specialized productivity assistant, Quivr uses the latest AI technology to offer a single search engine for documents, tools and databases. It's a private and local alternative to OpenAI's GPT models and supports several GenAI models. Quivr features include AI-powered search, multiple file and application integrations and support for custom integrations, so it can be used as a local testing environment.