In today’s fast-moving AI landscape, we’re constantly looking for tools that can take the heavy lifting out of our workflows whether it’s managing documents, running research, coding or automating repetitive tasks. That’s where Eigent comes in. In this blog, we’ll talk about Eigent, the world’s first Multi-Agent Workforce desktop application and why it’s creating so … Read more
When most people think of learning machine learning (ML), they imagine coding in Python, experimenting with TensorFlow or PyTorch and building neural networks. While hands-on coding is essential, it only scratches the surface. True mastery of machine learning comes from understanding the mathematics and theoretical concepts that power these algorithms. Without that foundation, models may … Read more
Artificial Intelligence is reshaping industries, creating opportunities for anyone with the right skills. But you don’t need a $200K master’s degree to break into this field. The smartest path is often self-learning with the right resources. In this blog, we’ll explore 7 AI Books that not only explain core concepts but also give you hands-on … Read more
Artificial Intelligence (AI) engineering is one of the fastest-growing career paths today. Whether you’re a beginner exploring machine learning or a professional pivoting into AI, the best way to learn is by building projects and studying real-world implementations. Fortunately, there are many GitHub repositories for AI that provide open-source projects, tutorials, and end-to-end workflows to … Read more
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