OSS models use and customization

We are speaking with a few teams to better understand how they’re using open-source AI models and the challenges they encounter across training, fine-tuning, inference, and agentic workloads and we have shortlisted your profile for same.

Would you be open to a 30-minute 1:1 conversation to share your experience and perspective?

I’d love to learn about:
- Your current OSS model workloads and business scenarios
- How you approach fine-tuning and training, including managed vs. custom-code experiences
- Your experience or interest in techniques such as reinforcement learning
- What drives your choice of inference platform — cost, capacity, performance, ease of use, etc.
- How you’re using models in agents and agentic workflows

There’s nothing you need to prepare beforehand. I’ll use these topics as a discussion guide, and I’m primarily interested in hearing about your real-world experience, priorities, and pain points.

If you’re willing to participate, please pick a time slot below

Thanks!