India, Sept. 19 -- What are the stages in the life of an AI model?

It starts with inception: This involves defining the kinds of problems that the AI model will solve, and setting associated goals.

Then comes design and development: At this stage, creators must build the algorithm, prepare the datasets, build the model in the form of clusters of computing capability. All this needs electricity (vast amounts of it) and water, to keep the energy-intensive data centres from overheating.

Verification: Extensive tests area run on the clusters, to assess whether the AI is behaving as it was meant to. These trial runs also require vast stores of power and water.

Deployment: The trained model is stored and replicated across servers spread out...