Programming

Introduction to Retrieval Augmented Generation Retrieval Augmented Generation (RAG) combines retrieval of information via semantic and keyword matching with Large Language Model (LLM)-based generation using provided context. RAG techniques improve LLM performance by retrieving relevant external documents but face challenges with financial data complexity. These significant challenges include handling unstructured financial data, domain-specific terminology, and

Introduction to Local LLMs Local LLMs, or large language models, specifically refer to local AI models that are revolutionizing the AI world by enabling users to run AI models locally on their devices—a fundamental change from traditional cloud-based solutions. Running LLMs in offline mode allows users to operate without an internet connection, enhancing privacy and

Introduction to AI Agents An ai agent is an autonomous system that plans, reasons, and executes tasks independently, unlike scripted RPA bots or supervised LLM assistants. Operating within the broader field of artificial intelligence, these agents combine decision making, memory, and action to deliver intelligent, context-aware outcomes, making them a crucial part of autonomous workflows.