Skillenai
A Human Story: Sarah, a 32-year-old teacher, spent two years chasing elusive answers about her health. When she first felt tingling in her arm and unexplained fatigue, each doctor visit ended with normal blood tests and advice to “wait it out.” A conventional MRI eventually showed a few tiny brain lesions, but no one was […]
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 […]
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 […]
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 […]
1. Introduction Generative AI has transitioned from a research curiosity to a cornerstone of healthcare innovation in 2025, fueled by breakthroughs in model architecture, fine-tuning, and retrieval integration. Early experiments centered on chatbots for basic triage, but recent efforts emphasize embedding LLMs into electronic medical record (EMR) systems, clinical workflows, and patient portals for deeper […]
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 […]
How machines learn to speak our language one token at a time. Imagine you’re trying to learn a new language say, Japanese. On your first day, you’re handed a paragraph in kanji. No spaces. No familiar letters. Just symbols. How do you even begin? That’s exactly how computers feel when we throw raw text at […]
🔊 “What if your voice assistant could truly understand and converse, not just respond?” In the summer of 2023, I yelled at my computer: “Play my favorite song!” Instead, it read my calendar out loud. Frustrating, right? That mishap planted the seed: I needed a voice agent that truly listens and replies on my terms. […]
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, […]
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 […]