How can organizations identify business problems suitable for Generative AI?

51

What factors should be considered when selecting a data platform for Generative AI?

46

What is reinforcement learning with human feedback (RLHF), and how is it applied?

51

What is a Large Language Model (LLM), and how does it work?

53

What are the key steps involved in fine-tuning language models?

47

How do few-shot and zero-shot learning influence prompt engineering?

43

What are the challenges of working on cross-functional AI teams?

45

How do you prepare and clean data for training a generative model?

45

What is prompt engineering, and why is it important for Generative AI models?

56

How can organizations create a culture of collaboration around Generative AI projects?

472

Why is security and governance critical when managing LLM applications?

53

Explain positional encodings in Transformer models.

41

What measures do you take to secure sensitive data during model training?

37

What is hallucination in LLMs, and how can it be controlled?

52

How do you select the right model architecture for a specific Generative AI application?

41