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


dev.to > madebymonogram > how-to-engineer-a-multi-agent-pipeline-for-production-reliability-1n2p

How to Engineer a Multi-Agent Pipeline for Production Reliability

19+ min ago   (798+ words) The system needed to analyze a requested use case, find relevant APIs, generate visual configuration, write code, inspect that code, repair defects, and produce implementation documentation. Putting all of those responsibilities into one prompt would have created an oversized context,…...


dev.to > hamza_dev_talks > terraform-for-cloud-ml-infrastructure-3fpb

Terraform for Cloud ML Infrastructure

20+ min ago   (182+ words) The user wants me to write a professional technical blog post about Terraform for Cloud ML Infrastructure and return it as valid JSON. Let me plan this out: Let me plan the sections: Let me write this out, aiming for…...


dev.to > piotrstelmach > enterprise-rag-scaling-ai-with-granular-data-and-hybrid-access-control-198h

Enterprise RAG: Scaling AI with Granular Data and Hybrid Access Control

1+ hour, 3+ 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…...


dev.to > cortia > api-valid-interface-invalid-a-boundary-failure-in-title-generation-3926

API Valid, Interface Invalid: A Boundary Failure in Title Generation

51+ 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…...


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

CSA Labs Links OpenAI Testing Agents to RubyGems Supply Chain Attack

49+ 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

1+ hour, 4+ 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)

1+ hour, 9+ 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

1+ hour, 37+ 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, 56+ 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

2+ hour, 24+ 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....