Added on May 29

This AI is there for monitoring and improving AI features driven by LLMs and other foundation models. It provides a clear and actionable picture of how generative AI applications are functioning in production. Key characteristics include: Integrate LLM management into your existing codebase and development process for greater flexibility. Control: With fine-grained access restrictions and audit logs, you can maintain complete control over your data. Actionability: Gain useful information into how to enhance LLM user interactions. Use Cases: Autoblocks is great for product engineering teams aiming to maximize the power of generative AI. These teams may incorporate new AI capabilities into current software products and iterate on them to enhance them continuously.

The AI catalogue team has used this tool and recommends it.
Last update:

on 18 August

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