Answer / Amit Katiyar

To design a domain-specific chatbot using LLMs, a large dataset of conversations relevant to the domain is needed. The model can be fine-tuned using techniques such as prompt engineering or data augmentation to optimize its performance for the specific task. Additionally, the chatbot can be designed to ask follow-up questions and provide helpful responses based on the user's input. It is important to test the chatbot thoroughly and iteratively improve it based on user feedback.

How does transfer learning play a role in training LLMs?

1 Answers  

---

How can one select the right LLM for a specific project?

1 Answers  

---

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

1 Answers  

---

How do you decide whether to fine-tune or train a model from scratch?

1 Answers  

---

What are the key differences between GPT, BERT, and other LLMs?

1 Answers  

---

What are the key elements to consider when creating user interfaces for LLM applications?

1 Answers  

---

How do you ensure compatibility between Generative AI models and other AI systems?

0 Answers  

---

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

1 Answers  

---

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

0 Answers  

---

What are the applications of Generative AI in finance?

1 Answers  

---

What tools do you use for managing Generative AI workflows?

0 Answers  

---

What is semantic caching, and how does it improve LLM app performance?

1 Answers  

---