Answer / Kumari Liza Sharan

Selecting the right LLM for a specific project involves considering factors such as: (1) task requirements - choose a model that's suited to the desired application; (2) available computational resources - ensure the chosen model can run efficiently on your hardware; (3) data availability - consider whether the model requires large amounts of data for training or if it can be fine-tuned on smaller datasets; and (4) evaluation metrics - assess the performance of various models using relevant benchmarks to determine their suitability for the project.

How do you evaluate the impact of model updates on downstream applications?

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How will quantum computing impact Generative AI?

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What are the trade-offs between security and ease of use in Gen AI applications?

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