Category: GenAI
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2025 is going to be the year of Agentic RAG
You know about RAG and you have heard about Agents. Here is why 2025 is going to be the year of Agentic RAG. If you’ve been following the Generative AI buzz, you’ve likely noticed that Retrieval Augmented Generation (RAG) has quickly become the most implemented GenAI solution in enterprise settings. RAG is all about combining…
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Reinforcement Learning from Human Feedback
Ever wondered if AI can be taught not just to know things, but also to be… well, less annoying? Lets talk about RLHF … When you’re training a generative AI model, you want it to produce useful, insightful, and non-disastrous outputs. Reinforcement Learning from Human Feedback (RLHF) is like teaching your AI how to behave…
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Training a Foundational GenAI Model
Training a foundational GenAI model is like training your puppy. Understanding the process can enable you to have a helpful companion. Chances are you hear about AI and “training” more times in a day than you care to admit. Since you have a curious mind, lets get into the details in a relatable way ……
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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,…
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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…
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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…
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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,…
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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…
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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…
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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…