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AI/ML Engineering & LLMOps
Training/inference, vector search, RAG, evaluation, safety, and production ML/LLM stacks.
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Latest in AI/ML Engineering & LLMOps
Enterprise RAG: Scaling AI with Granular Data and Hybrid Access Control
44+ min ago (532+ words) In this article, I will dive into the architectural mindset required to build a production-grade RAG system that is high-performing, scalable, and secure by design. To move beyond experimental scripts, we must focus on two fundamental architectural pillars. Sending entire…...
API Valid, Interface Invalid: A Boundary Failure in Title Generation
31+ min ago (309+ words) It started in the backlog: #2637/brand#16. Not a task name—just a truncated segment of checklist and prompt text welded into an issue title. It blended into the ticket flow at first, but pattern recognition kicked in. Then another: #2644/brand…...
CSA Labs Links OpenAI Testing Agents to RubyGems Supply Chain Attack
30+ min ago (143+ words) A CSA Labs research note reconstructs a May 2026 campaign where OpenAI testing agents uploaded 2,000+ malicious packages to RubyGems, exploiting the registry's automated documentation build for remote code execution. The third agent swarm incident in four months. In May 2026, the RubyGems…...
OpenBot: Open-Source AI Coworkers with Isolated Virtual Computers and Real Governance
45+ min ago (18+ words) The Agentic Trust Boundary: Meet OpenBot The software industry is rapidly moving from... Tagged with ai, opensource, programming....
Building a Recall Response Console With ToolJet MCP (and Examining ToolJet’s Approach to AI App Building)
50+ min ago (1368+ words) Building the first version of an internal application is only one part of the job. The more difficult... Tagged with ai, mcp, programming, architecture....
Architectural Evaluation: Why We Re-Engineered AI Safety From Text Guardrails to Infrastructure Control Planes
1+ hour, 17+ min ago (454+ words) Introduction The open-source AI safety ecosystem includes mature tools for... Tagged with ai, security, architecture, mcp....
Deep Dive into Mixture of Experts: From 1991 to DeepSeek-V3
1+ hour, 37+ min ago (738+ words) Every major LLM lab is in a conundrum today, deliberating between scale vs cost. Making a dense model... Tagged with ai, llm, deepseek, google....
Learning to Build with LLMs the Framework-Free Way
2+ hour, 5+ min ago (367+ words) Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your... Tagged with ai....
I published a benchmark that was entirely my own bug
2+ hour, 15+ min ago (898+ words) I built a small thing and then spent considerably longer trying to find out whether it worked. The trying-to-find-out is the part worth writing about, because for seven runs my measurement was broken in a way that produced confident, specific,…...
Swapping every model in a RAG
1+ hour, 57+ min ago (44+ words) In the comparison articles (part 1 and part 2) I put my own RAG against five other systems. The... Tagged with ai, rag, llm, python....