Question: Can you recommend a platform that supports team collaboration for annotating and training NLP models?

If you're looking for a platform to support team collaboration for annotating and training NLP models, TeamAI could be a good choice. TeamAI is an AI workspace where teams can collaborate with different large language models, including Gemini, GPT-4 and LLaMA. It offers centralized AI workspaces, shared prompt libraries, team usage reports and custom plugins to automate workflows and help build AI assistants. That makes it a good choice for teams in HR, Ops, Design, Marketing and Sales.

Another good option is Humanloop, which is geared to oversee and optimize large language model development. It's a collaborative playground for developers, product managers and domain experts to develop and iterate on AI features. Features include a collaborative prompt management system, evaluation and monitoring suite, and tools to connect private data and fine-tune models. Humanloop supports several LLM providers and offers Python and TypeScript SDKs for easy integration.

For experimentation and human annotation, you could also look at Parea. The platform offers tools for experiment tracking, observability and human annotation to help teams debug failures and gather feedback on model performance. It also has a prompt playground for testing multiple prompts on large datasets and integrates with popular LLM providers like OpenAI and Anthropic. Parea's lightweight Python and JavaScript SDKs make integration easy, and it offers a variety of pricing tiers for different team sizes.

Last, HoneyHive is a more general-purpose platform for AI evaluation, testing and observability. It's a single environment for collaboration, testing and evaluation of GenAI applications. HoneyHive offers automated CI testing, production pipeline monitoring, dataset curation and prompt management with support for more than 100 models through integrations with popular GPU clouds. It's a good choice for teams that need a more mature solution for debugging, user feedback and data analysis.