Don’t hard-code your prompts, but make your GenAI App “programmable”. Our platform introduces an “iterative” framework with full “observability” across the GenAI DevOps cycle like prompts and RAG.
Teammate AI Services is an innovative platform designed for the iterative development and engineering of prompts for advanced Generative AI (GenAI) applications. It simplifies the process of building, testing, and deploying GenAI apps by offering a robust framework that prioritizes both accuracy and quality throughout the development lifecycle. Through this user-friendly platform, developers can create production-ready GenAI apps without the hassle of hard-coding prompts.
To get started with Teammate AI Services, users can sign up for a free account. The platform provides guidance on building prompts and RAG integrations without the need for extensive coding knowledge. Developers can leverage the no-code editor for creating prompt chains, while the platform’s simulation features allow real-time testing before app deployment.
Teammate AI Services offers a freemium model where users can access essential features for free. For more advanced functionalities and extensive usage, tiered subscription plans are available, catering to different levels of development needs and team sizes.
Yes, Teammate AI Services offers a no-code environment that allows users to build applications with ease.
The platform provides a variety of metrics, including harmful scores, accuracy, and RAG effectiveness, which help in analyzing app quality.
The serverless inference API allows developers to run open-source AI models with simple code integrations, making it easy to switch between models.
Yes, new users can sign up for free and explore the basic features of Teammate AI Services.
Absolutely! The platform simplifies integration and switching between different generative models, enhancing flexibility for developers.
By leveraging the power of Teammate AI Services, developers can confidently build the next generation of advanced GenAI applications while ensuring high-quality outputs and an efficient workflow.
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