Skillenai
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 […]
TL;DR — Edition #4 zeroes-in on three tectonic shifts for AI founders: Enterprise Agentics From demo bots to production AI 2024 gave us a flood of “toy” chatbots; 2025 is about enterprise-grade. There is a whole zoo of agent frameworks on the market, but Microsoft’s AutoGen, CrewAI, LangGraph and Semantic Kernel have all crossed the […]
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 […]
Welcome to the third edition of Idea Frontier, where we explore paradigm-shifting ideas in STEM and business. In this issue, we examine three frontiers at the cutting edge of science and innovation: a breakthrough in detecting potential alien biochemistry, the rise of light-based AI computing, and the scaling of generative AI into biotechnology. Each topic […]
Diffusion models have become the dominant method of image generation in the last few years. But what are they? And how do they work? In this article, I will explain this intuitively and with some mathematics. This does require some mathematical and machine learning background, but I try here to abstract the complexity as much […]
🔊 “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. […]
Welcome to the second edition of Idea Frontier, where we explore paradigm-shifting ideas at the nexus of STEM and business. In this issue, we dive into three frontiers: how AI agents are learning to smartly pick their tools (and why that matters for building more general intelligence), how new memory frameworks like Graphiti are giving […]
The idea of an AI companion—always available, endlessly attentive, and shockingly helpful—has captured our collective imagination. From OpenAI CEO Sam Altman’s reported effort to build a startup inspired by the movie Her, to daily interactions with tools like ChatGPT, we’re entering an era where AI is no longer just a tool—it’s a presence. But what […]