For a community-driven project that crowdsources and collaborates to advance conversational AI, Chai AI is a great option. This platform crowdsources language model development in an effort to reach Artificial General Intelligence (AGI). With over 500,000 chat AI creators and 4 million users, Chai AI offers a developer platform where users can train and submit models using Python, competing against others for cash rewards. The platform prioritizes model safety and community engagement, encouraging innovation and more advanced language model development.
Another project worth mentioning is Open Assistant, an open-source project from LAION and others. It's designed to bring chat-enabled GPT LLM to anyone, and it's based on RLHF research to improve large language models. With Apache 2.0 licensed code and CC BY 4.0 licensed training data, Open Assistant is designed to run on ordinary consumer hardware, making it a relatively inexpensive option for building conversational AI into your own projects.
For teams, TeamAI offers an AI workspace where teams can use multiple large language models like Gemini, GPT-4 and LLaMA. It automates workflows, stores and chats, and lets you write custom plugins to build your own AI assistants. It's geared for teams in HR, Ops, Design, Hiring, Marketing and Sales, with features like centralized AI workspaces, shared prompt libraries and team usage reports to get the most out of AI.
Last, Kallo is an AI chat platform that supports multiple AI models and can switch between them. It's got an API for custom AI chat experiences and model flexibility, so it's good for companies that want to build AI into their own operations. With features like document scanning, real file summaries and fast searches, Kallo is a powerful option for AI deployment and management.