How do you balance transparency and performance in Generative AI systems?
What techniques are used for handling noisy or incomplete data?
What is the role of containerization and orchestration in deploying LLMs?
How does masking work in Transformer models?
What advancements are enabling the next generation of LLMs?
How can governance be extended to all data types?
How does Generative AI impact e-commerce personalization?
How do you prevent overfitting during fine-tuning?
What is the role of vector embeddings in Generative AI?
Can you explain the historical context of Generative AI and how it has evolved?
Why is data considered crucial in AI projects?
Why is building a strong data foundation crucial for Generative AI initiatives?
How can Generative AI contribute to scientific research?
What are the key differences between GPT, BERT, and other LLMs?
What are the risks of using open-source LLMs, and how can they be mitigated?