(Inspired by the paper “Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision” by Jayalath et al.) Teaser: What if an AI could grade itself — or even better, generate its own “teacher answer” from its m…
What if AI could become an entire software company? Not just answering your coding questions, but actually handling product management, architecture, competitive analysis, API design, documentation, and engineering? That’s ex…
If you’ve ever built an AI chatbot, you’ve probably heard the hype around RAG (Retrieval-Augmented Generation) . Think of it like this: your LLM is a smart student, but sometimes it forgets things. So you add a “librarian” (retriever) that goes and …
When it comes to building and deploying AI Agents, many teams immediately jump into complex tools without asking the most important question: 👉 Do we need something reliable and maintainable, or something endlessly flexible (but ris…
Data is the lifeblood of AI. But connecting AI agents (LLMs, helpers, etc.) to the right data securely, efficiently, and in a way that scales isn’t trivial. That’s where ToolFront comes in — a library / server by Kruskal Labs that lets AI…
Fine-tuning Large Language Models (LLMs) is no longer just a research task — it’s the art of sculpting a generic genius into a domain-specific prodigy! Whether you’re building a legal assistant, a medical chatbot, or a coding copilot, fine-tuning is…
Have you ever wanted to peek under the hood of ChatGPT-like models and actually build one yourself? 🔧🧠 If yes, then you’ll love the GitHub repo 👉 LLMs-from-scratch 👈. It’s the official code companion to the book Build a Large…
Markdown lovers, rejoice 🎉! Microsoft has dropped something super cool: MarkItDown-MCP . If you’ve ever wished your AI agent could just understand files like PDFs, PowerPoints, or Word docs without you pulling your hair out — this is …
When you hear “MCP Server” , you might think of something mysterious and complicated. But don’t worry — by the end of this blog, you’ll know what it is, why it matters, and even when you might use one yourself. Let’s break it down step by ste…
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