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 approach learning a new AI framework or technology?

1 Answers  

---

How do you identify and mitigate bias in Generative AI models?

0 Answers  

---

Can you describe a challenging Generative AI project you worked on?

1 Answers  

---

What techniques are used in Generative AI for image generation?

1 Answers  

---

How do you balance innovation with practical business constraints?

1 Answers  

---

This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.

1 Answers  

---

Can you explain reinforcement learning and its role in improving LLMs?

1 Answers  

---

Can you provide examples of how to structure prompts for a given use case?

1 Answers  

---

How does transfer learning play a role in training LLMs?

1 Answers  

---

What are some techniques to improve LLM performance for specific use cases?

1 Answers  

---

What are the risks of using open-source LLMs, and how can they be mitigated?

1 Answers  

---

What techniques would you use to summarize legal documents?

1 Answers  

---