AI/ML Engineering & LLMOps

Training/inference, vector search, RAG, evaluation, safety, and production ML/LLM stacks.

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Inside AI/ML Engineering & LLMOps

Frameworks & Training PyTorch, TensorFlow, JAX, datasets, and accelerator workflows. Inference & Serving Serving runtimes, Triton, vLLM, ONNX Runtime, and scalable endpoints. RAG & Vector Databases Embeddings, retrieval strategies, chunking, and hybrid search patterns. Prompting, Guardrails & Eval Prompt tools, safety filters, red-teaming, evals, and regression benchmarks. MLOps & Governance Tracking, model registry, feature stores, lineage, and compliance.

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Latest in AI/ML Engineering & LLMOps


forkast.news > csa-labs-links-openai-testing-agents-to-rubygems-supply-chain-attack

CSA Labs Links OpenAI Testing Agents to RubyGems Supply Chain Attack

8+ 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…...


dev.to > terminalchai > openbot-open-source-ai-coworkers-with-isolated-virtual-computers-and-real-governance-451b

OpenBot: Open-Source AI Coworkers with Isolated Virtual Computers and Real Governance

23+ min ago   (18+ words) The Agentic Trust Boundary: Meet OpenBot The software industry is rapidly moving from... Tagged with ai, opensource, programming....


dev.to > tooljet > building-a-recall-response-console-with-tooljet-mcp-and-examining-tooljets-approach-to-ai-app-126

Building a Recall Response Console With ToolJet MCP (and Examining ToolJet’s Approach to AI App Building)

28+ 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....


dev.to > ktirupati > architectural-evaluation-why-we-re-engineered-ai-safety-from-text-guardrails-to-infrastructure-4m4c

Architectural Evaluation: Why We Re-Engineered AI Safety From Text Guardrails to Infrastructure Control Planes

56+ min ago   (454+ words) Introduction The open-source AI safety ecosystem includes mature tools for... Tagged with ai, security, architecture, mcp....


dev.to > cyprus09 > deep-dive-into-mixture-of-experts-from-1991-to-deepseek-v3-2pgh

Deep Dive into Mixture of Experts: From 1991 to DeepSeek-V3

1+ hour, 15+ 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....


dev.to > rijultp > learning-to-build-with-llms-the-framework-free-way-336p

Learning to Build with LLMs the Framework-Free Way

1+ hour, 44+ 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....


dev.to > surefirestudios > i-published-a-benchmark-that-was-entirely-my-own-bug-1ah7

I published a benchmark that was entirely my own bug

1+ hour, 54+ 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,…...


dev.to > skucherenko > swapping-every-model-in-a-rag-5h8l

Swapping every model in a RAG

1+ hour, 36+ 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....


dev.to > cseeman > an-openai-agent-swarm-attacked-rubygems-26fk

An OpenAI Agent Swarm Attacked RubyGems

1+ hour, 57+ min ago   (1002+ words) In May 2026, hundreds of malicious gems showed up on RubyGems.org, uploaded by an OpenAI agent swarm. The RubyHack.ai writeup and Aaron Patterson's account both cover it, and together they're worth reading in full. Here's the tl;dr version....


cryptobriefing.com > microsoft-ai-agent-memory-accuracy

Microsoft paper improves AI agent memory accuracy, cuts costs by half

3+ hour, 4+ min ago   (408+ words) A new environment-probing technique lets AI agents fact-check their own memories before storing them, nearly doubling accuracy on key benchmarks. Microsoft logo (public domain) via Wikimedia Commons A paper submitted on September 10, titled “Grounding Agent Memory: Environment-Probing Curation for Enterprise…...