If you're looking for a Manot alternative, Humanloop is a good choice. This service is geared for managing and optimizing Large Language Model (LLM) development, and it's designed to address some of the pain points that can come with LLMs, like suboptimal workflows and manual evaluation. It includes a collaborative prompt management interface, an evaluation and monitoring interface, and customization and optimization tools. Humanloop integrates with major LLM suppliers and offers a variety of SDKs for integration, so it's good for product teams, developers and anyone else building AI features.
Another option is Freeplay, a lifecycle management tool for LLM product development. It automates the development process with tools like prompt management, automated batch testing, AI auto-evaluations and human labeling. Freeplay offers a unified interface for teams with lightweight SDKs for Python, Node and Java, and multiple deployment options. It's geared for enterprise teams that want to move beyond manual processes and speed up development.
If you're focused on building, deploying and optimizing generative AI applications, Klu is another option. Klu supports multiple LLMs and offers features like fast iteration, built-in analytics and custom model support. It offers tools for collaboration on prompts, automated prompt engineering and performance monitoring, which can help AI engineers and teams iterate faster based on model, prompt and user feedback.
Another option is Parea, which offers a wide range of tools for AI teams to ship LLM applications with confidence. Parea includes experiment tracking, observability, human annotation tools and a prompt playground for testing multiple prompts on large datasets. The service integrates with popular LLM providers and frameworks and offers several pricing tiers, including a free builder plan and an enterprise plan for larger teams.