If you're looking for something besides Airtrain AI, Humanloop is another strong contender. The service is designed to oversee and optimize the development of Large Language Models (LLMs) applications. It offers a collaborative sandbox with version control and history, an evaluation and monitoring tool for debugging performance, and tools to fine-tune models with private data. Humanloop integrates with common LLM providers and offers Python and TypeScript software development kits for integration. It's geared for product teams, developers and anyone building AI features.
Another service worth a look is Klu, which lets you build, deploy and optimize generative AI applications. It supports a variety of LLMs, including GPT-4 and Llama 2, and offers features like fast iteration, built-in analytics and support for custom models. Klu has a few pricing tiers, including a scalable option for large teams, so it's a good option for AI engineers and teams trying to improve their workflow.
For an open-source option, Dify offers a foundation for building and running generative AI applications. It includes a visual Orchestration Studio for designing AI apps and tools for secure data pipelines, prompt design and model tuning. Dify also offers customizable LLM agents and the ability to quickly deploy chatbots and AI assistants, so it's a good option for businesses and individuals who want to add AI securely and efficiently.
Last, Predibase is a low-cost way to fine-tune and serve LLMs for specific tasks. It supports a variety of models and offers a low-cost serving infrastructure with free serverless inference for up to 1 million tokens per day. Predibase also offers enterprise-grade security with SOC-2 compliance, so it's a good option for companies that need to deploy AI quickly and securely.