Another option is ClearGPT, a commercial platform based on generative AI and Large Language Models like ChatGPT. It's geared for security, performance and data governance, with controls to stop data leakage and protect corporate intellectual property. ClearGPT is designed for internal enterprise use, with role-based access and data governance, and with continuous fresh data for the adaptable AI. It's a good option for companies that need the highest level of control and privacy.
If you're looking for something more economical, Predibase is a platform for developers to fine tune and serve large language models. It supports a variety of models, including Llama-2, Mistral and Zephyr, and has a pay-as-you-go pricing model and enterprise-grade security. Predibase is a good option for companies that need to fine tune models for specific tasks like classification and code generation while keeping operations secure and efficient.
Last, Together is a cloud platform designed to speed up the development and deployment of generative AI models. It supports a broad range of models and has scalable inference to handle high traffic. With costs up to 117x cheaper than AWS, Together is an option for companies that want to build private AI models into their products without paying a premium.