Author Archives: Abhinav Aggarwal

Understanding Retrieval-Augmented Generation (RAG)

In the ever-evolving world of artificial intelligence (AI), large language models (LLMs) like ChatGPT have changed the way of interaction with technology. Their ability to generate human-like responses to a variety of questions made them revolutionary. This is where Retrieval-Augmented Generation (RAG) comes into play. RAG is a method designed to overcome these challenges and Continue Reading »

Teaching AI to Understand Humans: A Guide to Reinforcement Learning from Human Feedback (RLHF)

Artificial intelligence has taken a great leap with the help of Reinforcement Learning from Human Feedback (RLHF), a method that combines the power of human judgment with traditional machine learning. Unlike conventional training processes that depend entirely on static datasets, RLHF uses human input to make AI systems more adaptable and contextually aware. What Makes Continue Reading »