Category: GenAI
-
AI Swarms are Coming!
Ever wondered what happens when you give a thousand AI agents espresso shots and let them loose on your toughest problems? 🤖☕ Welcome to the wild world of generative AI agent swarms! Imagine a swarm of tiny digital bees 🐝 buzzing around, each one a little genius in its own right. Alone, they’re smart; together,…
-
AI Solutions Hidden Agenda
Did you know that most AI solutions have a *hidden agenda* ? Not going full conspiracy theory, I’m talking about system prompts … the behind-the-scenes magic setting the tone and direction for every conversation you have with a chatbot. Think of it like the AI’s guidance directions: “Play the helpful expert today.”“Be an ultra-polite assistant.”“Act…
-
Trending RAG Solutions
RAG solutions are trending with organizations like NVIDIA stock. Let me tell you why. By now, most of you probably know that RAG stands for Retrieval-Augmented Generation. Basically, Gen AI with a really good factual memory… like an AI that not only generates ideas but also backs them up with receipts. THAT, my friends, is…
-
Is AI Scaling Limitless?
Bigger models, more data, and insane compute! Is this the ultimate formula for smarter AI, or have we reached the limit? Ever wondered how foundational AI models like those from OpenAI and Anthropic got so smart, so fast? The answer lies in the “Scaling Hypothesis.” Simply put, the bigger the model, data and computational power,…
-
Open-Source AI
Opinions differ on the risks of open-source AI, but we can agree on the definition of open-source AI itself, right … right? The AI industry is currently split on open source AI models. Some see them as the path to innovation, creativity, and community-driven progress. Others think of them as Pandora’s box, once opened, releasing…
-
Is Explainable Generative AI Really Possible?
Explainable AI (XAI) aims to make AI models transparent and understandable to humans. While traditional machine learning models can be easier to interpret, modern AI models, especially deep learning and generative models, are often considered “black boxes” due to their complexity. Understanding The Black Box Problem … Large Language Models (LLMs) generate content by predicting…
-
Quantum computing will be the rocket booster to allow AI to scale to the unimaginable. 🚀
We have all been the situation, searching for a friend in a crowd in a sea of people. A classical computer (and you) would scan the crowd person by person … a real-life game of “Where’s Waldo” that could take forever. Quantum computing, however, is like having infinite versions of yourself checking every person at…
-
Is it time for RAG to RIP? Googles improved RIG (Retrieval Interleaved Generation) has some potential.
Generative AI is evolving fast, and if you’re leveraging Retrieval-Augmented Generation (RAG) like so many other organizations, it might be worth exploring the next potential evolution: Retrieval Interleaved Generation (RIG). Besides one letter, whats the difference? RAG retrieves information from external sources before generating a response. It collects relevant data upfront and then generates an…
-
Simple misunderstandings in communication are feeding AI hallucinations.
Isn’t it ironic that even among humans, our words can lead to misunderstandings? So, when we communicate with AI, it’s no surprise that similar challenges arise—especially when language barriers and ambiguities come into play. Consider the word “java.” To a programmer, it refers to a programming language. To a coffee enthusiast, it’s a cup of…
-
Is Enterprise GenAI Good Enough?
You’ve subscribed to the enterprise version of an LLM, so you have all the security and controls you need, right? Not exactly. An LLM gateway or acts as a custom-built bridge between your business and the LLM provider. It safeguards and monitors data flow, allowing you to filter and customize outputs, optimize performance, and enforce…