If you need a platform to quickly build and manage large language models for enterprise use cases, Vellum is a great option. It comes with a set of tools for prompt engineering, semantic search, prompt chaining, evaluation and monitoring. Built for enterprise scale, Vellum comes with best-in-class security, privacy and scalability. Its features include fast prompt engineering, complex multi-step chain composition and confident deployment with release management and monitoring, making it great for use cases like workflow automation, document analysis and chatbots.
Another powerful option is Humanloop, which is geared towards managing and optimizing the development of Large Language Models. It's a playground for developers, product managers and domain experts, with a collaborative prompt management system with version control and history tracking. The platform supports popular LLM providers and has Python and TypeScript SDKs for easy integration. Humanloop also includes an evaluation and monitoring suite, customization tools and enterprise features like SSO and role-based access controls, making it great for efficient collaboration and reliable AI performance.
If you need something more custom, either on-premise or in the cloud, Lamini is a full-featured platform for managing LLMs. It includes features like memory tuning for high accuracy, deployment on different environments, and guaranteed JSON output. Lamini allows direct model selection, tuning and inference, and can handle many models at once. It also includes a free tier for limited inference requests and an enterprise tier with unlimited tuning and inference, along with dedicated support.
Last, Freeplay is a flexible tool for the end-to-end lifecycle management of LLMs. It streamlines the development process with features like prompt management and versioning, automated batch testing, AI auto-evaluations, human labeling and data analysis. Freeplay includes lightweight SDKs for Python, Node and Java and offers compliance-focused deployment options. This platform is great for enterprise teams looking to cut costs and increase development velocity.