Large Language Models (LLMs) like GPT, LLaMA and PaLM are transforming the world of artificial intelligence. From powering chatbots to enabling advanced reasoning and content generation, these models are now at the heart of modern AI systems. To help learners build a strong foundation, the IIT Madras B.S. Degree Programme has released a 55-part YouTube … Read more
Artificial Intelligence has made huge strides in recent years with Large Language Models (LLMs) like GPT, LLaMA and Claude becoming central to research and real-world applications. Yet, one limitation of LLMs is that they rely on the data they were trained on and may not always have up-to-date or domain-specific knowledge. This is where Retrieval-Augmented … Read more
Artificial Intelligence has reached an inflection point. From research labs to enterprise applications, transformer architectures and their successors have become the driving force of innovation. To truly understand this evolution and where it’s headed, few voices are as authoritative as Antonio Gulli who has now released a landmark book that spans the theory, practice and … Read more
Artificial Intelligence (AI) is no longer just an abstract concept studied in research labs- it’s shaping industries, driving innovation and transforming the way humans interact with technology. To build truly intelligent systems, however, learners need both a solid theoretical foundation and practical hands-on tools. That’s where Artificial Intelligence: Foundations of Computational Agents (3rd Edition) by … Read more
Artificial Intelligence is entering a new era. No longer limited to answering questions or generating text, today’s systems are evolving into autonomous agents – intelligent entities that can reason, plan, collaborate, and act. This shift requires a structured way of thinking about design and implementation. Antonio Gulli’s Agentic Design Patterns: A Hands-On Guide to Building … Read more
In recent years, the rise of large language models (LLMs) has opened the door for more intelligent and capable agents. However, training agents to perform multi-step tasks reliably remains challenging, primarily due to the need for careful reward function engineering. Enter (ART – Agent Reinforcement Trainer) an open-source framework designed to streamline reinforcement learning (RL) … Read more
Machine learning (ML) has become one of the most sought-after skills in the modern tech landscape, driving innovation in AI, data science, finance, healthcare, robotics and beyond. For learners who want to go beyond surface-level tutorials, the Applied Machine Learning (CS 5785) course from Cornell Tech stands out as a comprehensive, rigorous, and practical resource. … Read more
Artificial Intelligence is transforming industries at an unprecedented pace, and AI engineering is at the heart of this revolution. Whether you’re building large language models, designing machine learning systems, or deploying AI at scale, having a strong foundation is essential. One of the best ways to gain that foundation is by learning from the top … Read more
In the world of artificial intelligence, the way you ask a question often matters just as much as the answer you receive. With the release of GPT-5, OpenAI has delivered a model that excels in reasoning, instruction-following, and agentic workflows but to unlock its full potential, you need to master the art of prompting. This … Read more
In today’s fast-paced AI landscape, building a powerful large language model (LLM) is only half the battle. The real challenge lies in ensuring the model understands the right context to deliver accurate, relevant, and goal-aligned results. Without context, even the most advanced AI agents risk producing inconsistent and misleading outputs. Context Engineering is the process … Read more
Retrieval-Augmented Generation (RAG) is transforming how AI delivers accurate, context-rich answers by combining large language models with real-time data retrieval. Two leading tools in this space—LangChain and LlamaIndex—take very different approaches to achieving the same goal: smarter, more reliable AI outputs. In this blog, we’ll break down their strengths, differences, and best use cases, helping … Read more