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


cryptobriefing.com > chutes-harvard-6-billion-llm-requests-dataset

Chutes AI and Harvard release public dataset of 6.12 billion LLM requests

18+ min ago   (381+ words) The year-long dataset spanning 9,174 models reveals that 99% of requests are repeats within 15 minutes, a finding with major implications for how AI infrastructure gets built. If you’ve ever wondered what billions of AI requests actually look like under the hood, now…...


hackernoon.com > designing-memory-rescue-with-onesignal-without-turning-slovo-into-a-notification-machine

Designing???Memory Rescue??? With OneSignal (Without Turning Slovo Into a Notification Machine)

1+ hour, 39+ min ago   (702+ words) Push notifications are easy to send and difficult to deserve. Slovo is a Russian learning app built around a deliberately small habit: one useful word, a short review, and optional reading. If I used notifications to manufacture urgency every few…...


vals.ai > benchmarks > terminal-bench-4

Terminal-Bench 4.0

1+ hour, 30+ min ago   (269+ words) Where Terminal-Bench 2.x was mostly software engineering and system administration, 4.0 is deliberately wide. The tasks span seven categories: We include Terminal-Bench because it is widely reported by model providers, because it reflects the kind of end-to-end terminal work that agentic…...


dev.to > bedvibe_studios > i-audited-my-own-ml-linter-and-had-to-withdraw-its-best-evidence-1g96

I audited my own ML linter and had to withdraw its best evidence

1+ hour ago   (705+ words) I maintain trainproof, a deterministic linter for ML training runs. No model scores your run — every verdict is a rule that either fires or doesn't, and every finding prints the numbers behind it. Before releasing 0.22.0 I put it through two…...


dev.to > causely > how-to-check-an-agents-diagnosis-before-it-touches-production-fp6

How to Check an Agent's Diagnosis Before It Touches Production

1+ hour, 3+ min ago   (100+ words) Originally posted to causely.ai by Ben Yemini TL;DR When teams get ready to add agents to... Tagged with ai, devops, kubernetes, observability....


hackernoon.com > my-ai-agent-distorted-the-truth-in-three-different-ways-but-only-one-was-a-hallucination

My AI Agent Distorted the Truth in Three Different Ways, but Only One Was a Hallucination

1+ hour, 24+ min ago   (1818+ words) We are confident this text is AI-assisted. GPTZero works with the world's top publishers as the trusted standard for authenticity and quality. Learn more here This story contains AI-generated text. The author has used AI either for research, to generate…...


dev.to > omiossec > azure-vnra-peering-performance-hub-and-spoke-control-5oa

Azure Virtual Network Routing Appliance: peering performance, hub-and-spoke control

1+ hour, 46+ min ago   (242+ words) Yet another routing appliance? The name of this new Azure service is confusing. Is it a sort of NVA?... Tagged with azure, networking....


atlascloud.ai > blog > tips > generative-ai-api-for-developers

Build a generative AI API workflow that turns successful requests into outputs your users can actually use, with retries, validation, and production safeguards.

1+ hour, 5+ min ago   (1641+ words) Your request returns successfully. The application still has no usable image. Perhaps the response contains a task ID, or the finished picture includes an extra object that makes it unsuitable for the page. A generative AI API for developers lets…...


dev.to > lagoni > we-let-agents-run-the-boring-half-of-our-projects-they-ask-better-questions-than-we-did-ike

We let agents run the boring half of our projects. They ask better questions than we did

1+ hour, 56+ min ago   (1430+ words) How a small team built an agentic workflow for the point where a project stops being talked about and starts being built. Every project has two halves. First the meetings: workshops, specs, Lucidcharts, Confluence pages, a lot of talking. That…...


dev.to > dmitryganin > svoi-vless-proksi-biesplatno-odnoi-komandoi-xray-xhttp-na-alwaysdata-3fh1

Свой VLESS-прокси бесплатно одной командой: Xray + XHTTP на Alwaysdata

1+ hour, 57+ min ago   (355+ words) Мне был нужен свой прокси за границей, но платить за VPS ради него не хотелось. Бесплатные варианты... Tagged with selfhosted, networking, bash, tutorial....