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What is RAG (Retrieval Augmented Generation)? Retrieval Augmented Generation, or RAG, is a technique that enhances the capabilities of Large Language Models (LLMs) by allowing them to retrieve information from external sources. This is especially useful in scenarios where the…
AI is rapidly evolving beyond simple chatbots into something far more powerful: AI agents. These goal‑driven programs don’t just answer questions—they take action, use tools, and make decisions on our behalf. 🎙️ Listen: AI Agents Explained 💡 Quick Definition: An AI agent is software that perceives its environment, reasons…
The Role of Machine Learning Machine Learning is a subset of AI that enables computers to learn from data without being explicitly programmed. The Explosion of Data (2007 Onwards) The year 2007 marked a digital turning point: This led to…
The age of AI is not just about using large language models (LLMs) in chatbots; it’s about integrating AI capabilities deeply into our workflows and applications. Imagine an AI assistant that doesn’t just talk, but acts – managing tasks, retrieving data, and…
Modern AI assistants are smart, but they often struggle to access all the information you need. Data is usually scattered across different apps and systems (documents, emails, databases, etc.), and each new connection requires a custom integration or plugin. In…
Scroll through your social media, and you’ll likely see them: charming, Ghibli-esque portraits of friends, colleagues, and even pets. The latest viral trend uses AI image generators, often integrated with platforms like ChatGPT, to turn everyday photos into whimsical anime…
