Shubhi

Follow model discovery, deployment, grounded chat, function calling, and flow evaluation to see how a shared inference interface supports application-specific model choices.

• Can AI solve the use case—and can it scale?
  1:29 ↗
• Choose capabilities, not just model size
  3:14 ↗
• Inspect a model, deploy it, and compare benchmarks
  4:25 ↗
• Give the same question a better source
  7:12 ↗
• Separate infrastructure choice from the inference interface
  9:36 ↗
• Use a function for the shop’s actual bill
  11:08 ↗
• Build retrieval as a flow, then vary the models
  13:42 ↗
• Control data handling, model integrity, and access
  16:25 ↗
• From internal assistance to customer-care automation
  18:34 ↗
• Forecasting broadens the catalog beyond chat
  21:16 ↗