If you want a platform to try out a variety of large language models without having to know how to code, Airtrain AI is worth a look. The no-code compute platform has an LLM Playground where you can try more than 27 open-source and proprietary models. It also has a Dataset Explorer for visualizing and curating data, AI Scoring for evaluating models, and several pricing plans to accommodate different needs.
Another good option is MindStudio, a no-code AI application development platform. You can build your own custom AI tools and assistants without writing any code. You can mix and match models to create job-specific assistants, integrate with multiple data sources, and use a variety of pricing plans for flexibility and affordability.
If you're looking for a collaborative environment, check out TeamAI. It's geared for teams and supports multiple LLMs like Gemini, GPT-4 and LLaMA. It has centralized AI workspaces, shared libraries of prompts, and the ability to create custom plugins to build your own AI assistants. You can automate processes and generate ideas without having to write any code.
LLMStack is another open-source platform for building AI apps with pre-trained language models. It includes a no-code builder for connecting models to data and business processes, with support for a variety of data imports and multi-tenancy features. That makes it useful for building chatbots, AI assistants and automating workflows even if you don't know how to program.