Question: I need a solution to monitor and optimize the performance of my generative AI models, can you suggest something?

If you're looking for a way to monitor and tune your generative AI models, LangWatch is a full-featured tool to help you ensure the quality and safety of your AI products. It can monitor conversion rates, output quality and user feedback in real time, so you can continuously optimize. LangWatch also has strong guardrails to prevent jailbreaking and sensitive data exposure, so it's a good option for developers and product managers.

Another good option is Zerve, which offers a way to run and manage GenAI and Large Language Models (LLMs) in your own stack. Its features include an integrated environment with notebook and IDE tools, detailed GPU control, and unlimited parallelization. It's good for data science teams that want more control and faster iteration, and that can integrate serverless GPUs and their own user data.

Last, Abacus.AI offers a powerful foundation for running and building applied AI agents and systems at scale. It offers a variety of products, including ChatLLM for fine-tuning LLMs and AI Agents for automating complex processes. Abacus.AI also offers predictive modeling, anomaly detection and explainable ML, so it's a good option for optimizing business operations and customer service.