When Machines Learn Like Us: How MIT’s AI is Bridging Sight and Sound

Introduction: The Convergence of Senses in Machines Imagine a toddler hearing a dog bark for the first time. She turns her head, sees the furry creature, and instinctively connects the sound to its source. This seamless association between sight and sound is fundamental to how humans understand the world. Now, picture a machine doing the […]

Building and Deploying Data-Aware AI Agents in Databricks with Claude Opus 4: An End-to-End Python Tutorial

Introduction Just a few days ago on May 23Databricks dropped a huge update: you can now run Claude Opus 4 and Sonnet 4 right inside your Databricks workspace. In plain terms, that means you can build AI agents that tap directly into your own data lakes, run on secure infrastructure, and follow governance rules you […]

Building an Agentic RAG System: A Hands-On Guide to Autonomous Knowledge Retrieval

Introduction In the evolving landscape of artificial intelligence, the integration of autonomous decision-making within information retrieval systems marks a significant advancement. Retrieval-Augmented Generation (RAG) has been instrumental in enhancing the capabilities of language models by providing them with access to external knowledge sources. However, traditional RAG systems often operate in a linear fashion, lacking the […]

Tailoring LLMs: A Guide to Fine-Tuning for Specific Tasks

Introduction: Why Fine-Tune Pretrained Models? In the realm of Natural Language Processing (NLP), Large Language Models (LLMs) like GPT-3, BERT, and LLaMA have revolutionized the way machines understand and generate human language. However, while these models are trained on vast datasets, they might not always align perfectly with specific tasks or domains. This is where […]

Comparison of Major LLM Architectures (2017– 2025)

A concise, personal comparison of key LLM architectures developed over the past few years. This document reflects my individual understanding and curiosity-driven research from the year 2017 to February 2025. This is by no means an exhaustive list, and many other excellent models exist in the field. 🎯 List of LLMs Covered (2017–2025) Transformer, BERT, […]

Smarter Automation With Burr: The Future of Decision-Making

Burr – a stateful AI decision engine that allows developers to build structured, interactive AI workflows efficiently. In this article, we will: ✅ Explore Burr’s stateful AI workflow✅ Build an AI-powered chatbot using Burr✅ Deploy the chatbot with structured transitions and state updates✅ Compare Burr with other AI orchestration tools By the end, you’ll have […]

Build Your First AI Agent in Minutes

Use CrewAI to build a useful AI Agent with just a few lines of code. At the beginning of this year, I heard someone saying that 2025 was going to be the year of agentic AI when we would start using AI to perform tasks for us instead of only responding to prompts. But first […]