Question: I'm looking for a platform that allows multiple teams to collaborate on building and testing large language models.

If you're looking for a platform to collaborate on building and testing large language models, HoneyHive is a great option. It's a full-fledged environment for collaboration, testing, and evaluation of GenAI applications. With automated CI testing, production pipeline monitoring, and a shared workspace for prompt management, HoneyHive enables powerful workflows for debugging, online evaluation, user feedback, and data analysis. It also integrates with common GPU clouds and has a variety of pricing tiers, including a free developer plan.

Another good option is Humanloop, which is geared to oversee and optimize the development of Large Language Models (LLMs). It's a collaborative playground for developers and domain experts, with a prompt management system that includes version control and history tracking, and an evaluation and monitoring suite for debugging. Humanloop supports common LLM providers and has Python and TypeScript SDKs to integrate with your workflow, making it a good option for product teams and developers who want to increase efficiency and collaboration in AI development.

TeamAI is another good option, providing an AI workspace where teams can work with different LLMs like Gemini, GPT-4 and LLaMA. It includes centralized AI workspaces, shared prompt libraries and custom plugins to build AI assistants. This is particularly useful for HR & Ops, Design, Hiring, Marketing and Sales teams who can automate workflows and get more out of AI. You can set up your AI workspace in 30 seconds and try it for free.

For those who want a team collaboration environment for building, testing and sharing LLM-powered features, Prompt Studio is also worth a look. It includes a collaborative text editor, customizable templates, testing and iteration tools, and a managed AI backend for deployment and integration. Prompt Studio has several pricing tiers, including a free option, so it can help you make AI development more efficient and collaborative for technical and non-technical team members.