Answer / Tarun Agarwal

A Large Language Model (LLM) is an artificial intelligence model designed to understand and generate human-like text. It works by learning patterns in a large dataset of text, allowing it to predict the next word or sentence in a sequence. This is achieved through a process called deep learning, where neural networks are trained to recognize complex relationships between words and phrases. The larger the dataset, the more sophisticated the model becomes.

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

1 Answers  

---

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

1 Answers  

---

What is context retrieval, and why is it important in LLM applications?

1 Answers  

---

How can governance be extended to all data types?

1 Answers  

---

How do you balance innovation with practical business constraints?

1 Answers  

---

What is text retrieval augmentation, and why is it important?

1 Answers  

---

What is the role of containerization and orchestration in deploying LLMs?

1 Answers  

---

How can the costs of LLM inference and deployment be calculated and optimized?

1 Answers  

---

How does transfer learning play a role in training LLMs?

1 Answers  

---

What factors should be considered when comparing small and large language models?

1 Answers  

---

What are the key steps in building a chatbot using LLMs?

1 Answers  

---

What are the trade-offs between security and ease of use in Gen AI applications?

1 Answers  

---