Most software architectures assume the system is static. DiSE assumes the system is alive. Note: This is Part 4 in the "Cooking with DiSE" series. See Part 1, Part 2: Graduated Apprenticeships, and Part 3: Untrustworthy Gods for background. This article is the…
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Here's an uncomfortable truth that nobody in the AI hype machine wants to discuss: We still don't know what intelligence actually is. Not in humans. Not in animals. And certainly not in machines. This isn't just academic hairsplitting. It's the foundational…
"We're building an AI-powered knowledge assistant that will revolutionise how our employees access information..." Every job advert, pitch deck, and consultancy proposal in 2024-2025 Introduction I've spent the past month or so properly immersing myself in the…
Want to get nice, descriptive alt text for images on your sites or jsut extract text from them? mostlylucid.llmalttext uses Microsoft's Florence-2 vision language model to generate high-quality alt text automatically - running entirely locally on your machine,…
My system, DiSE, is a self-optimizing, self-assembling, software engineering grounded workflow builder. It generates testable code artifacts, evaluates them objectively, and evolves them over time without constant human supervision. But here's the thing:…
In Part 1 of this RAG series, we covered the fundamentals of Retrieval-Augmented Generation—what it is, how it works, and the underlying technology (embeddings, vector databases, LLM internals). Now it's time to put that knowledge into practice. This article…
In Part 1 and Part 2 of this series, we covered RAG's origins, fundamentals, and technical architecture. You understand what RAG is, why it matters, and how it works under the hood. Now it's time to put that knowledge into practice. This article shows you how…
In Part 1, we covered RAG's origins, fundamentals, and why it matters. You understand the high-level concept: retrieve relevant information, then use it to generate responses. Now we dive deep into the technical architecture—exactly how RAG systems work under…
Ever searched for "deployment guide" and got nothing, even though there's an article about "publishing to production"? RAG (Retrieval-Augmented Generation) solves this by understanding meaning, not just keywords. This series shows you how RAG came about, how…
In which we discover that your friendly AI assistant might have ulterior motives (and what to do about it) Note: This is Part 3 in the "Cooking with DiSE" series. If you haven't read Parts 1-2, you might want to—though this one stands alone as a slightly…
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