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 In today’s rapidly evolving digital landscape, businesses are increasingly leveraging artificial intelligence (AI) to streamline operations and enhance decision-making. Salesforce’s Agentforce, an AI-driven platform, empowers organizations to automate tasks and gain deeper insights into their operations. A critical component of maximizing Agentforce’s potential lies in effectively utilizing Salesforce’s data objects and custom reporting tools. […]
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 […]
This tutorial aims to delve into the theoretical foundations and practical implementations of vector search using FAISS and Pinecone. We’ll explore the mathematical concepts, data structures, and algorithms that power these systems, providing code snippets and examples to solidify understanding. 1. Introduction to Vector Search 1.1 What is Vector Search? Vector search involves finding the […]
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 […]