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What are some best practices for establishing thresholds to trigger a new iteration of a generative AI model with new prompts in the ML lifecycle?

One method is to develop a second model to examine the first model and evaluate its response. But this space and technology are constantly evolving, so there is currently no technological market leader or established players that can evaluate responses. This is expected to change as the space matures. Until then, it is recommended to experiment as much as possible while involving humans to validate.

Interested in learning more?

Check out this 9 minute demo that covers MLOps best practices for generative AI applications.

View this webinar with QuantumBlack, AI by McKinsey covers the challenges of deploying and managing LLMs in live user-facing business applications.

Check out this demo and repo that demonstrates how to fine tune an LLM and build an application.

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