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What does "accelerating AI functions" mean, and why is it important?
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What metrics do you use to evaluate the performance of a fine-tuned model?
What is context retrieval, and why is it important in LLM applications?
How do you decide whether to fine-tune or train a model from scratch?
How is Generative AI used in healthcare?
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What is hallucination in LLMs, and how can it be controlled?
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Can you explain the historical context of Generative AI and how it has evolved?
How do you ensure ethical considerations are addressed in your work?
What are the key differences between GPT, BERT, and other LLMs?
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