How can latency be reduced in LLM-based applications?
Can you explain reinforcement learning and its role in improving LLMs?
What are the key steps involved in fine-tuning language models?
What measures do you take to secure sensitive data during model training?
Why is security and governance critical when managing LLM applications?
Can you explain the difference between discriminative and generative models?
How can the costs of LLM inference and deployment be calculated and optimized?
What is reinforcement learning with human feedback (RLHF), and how is it applied?
How can Generative AI contribute to scientific research?
What factors should be considered when comparing small and large language models?
What are vector embeddings, and why are they important in LLMs?
What techniques can improve inference speed for LLMs?
How does transfer learning play a role in training LLMs?
How do you train a model for generating creative content, like poetry?
What does "accelerating AI functions" mean, and why is it important?