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 > memtensor > how-to-keep-bad-assumptions-out-of-agent-memory-mj8

How to Keep Bad Assumptions Out of Agent Memory

20+ min ago   (1194+ words) Standfirst: Retrieval quality cannot repair a memory that was wrong when written. Production agents need an admission layer that distinguishes user statements, environment facts, model inferences, procedures, and high-impact state before any of them become durable memory. MemTensor's MemOS provides…...


machinelearningmastery.com > the-roadmap-to-mastering-voice-agents

The Roadmap to Mastering Voice Agents

2+ hour, 9+ min ago   (1639+ words) Making developers awesome at machine learning In this article, you will learn what voice agents are, how they differ from text-based AI systems, and how to build your knowledge from the ground up using a structured seven-stage roadmap. Topics we…...


forbes.com > councils > forbestechcouncil > 09/16/2026 > after-the-cheap-token-era-three-levers-for-efficient-roi-positive-ai-use

After The Cheap-Token Era: Three Levers For Efficient, ROI-Positive AI

1+ hour, 2+ min ago   (443+ words) CTO at Deque Systems and author of the “Agile Accessibility Handbook, A Practical Guide to Accessible Software Development at Scale.” ​The cheap-token era is over, and with it, the assumption that more AI automatically means better results.​ Every token you…...


dev.to > michaelhairetis > does-your-system-read-back-what-it-writes-29nb

Does your system read back what it writes?

1+ hour, 7+ min ago   (410+ words) I had agents writing notes that nothing ever read. For months. Here is how I found out, and why I think it is a common shape of bug rather than a one-off. The setup. An orchestration platform runs scheduled data…...


dev.to > tanbirramim > i-built-a-small-python-library-to-add-retries-caching-fallbacks-budgets-and-guardrails-around-f75

I built a small Python library to add retries, caching, fallbacks, budgets, and guardrails around native LLM SDK calls

1+ hour, 13+ min ago   (26+ words) I got tired of writing the same LLM boilerplate in every project, so I made a library Three lines to... Tagged with ai, python, llm, opensource....


forkast.news > wso2-ships-an-open-source-control-plane-formalizing-agent-governance-as-infrastructure

WSO2 Ships an Open-Source Control Plane, Formalizing Agent Governance as Infrastructure

2+ hour, 26+ min ago   (53+ words) Apache 2.0 release separates agent governance from agent logic for the first time at framework scale — identity, guardrails, and observability become an infrastructure layer, not a developer burden. Blair Hayes Agent Infrastructure All stories by Blair Hayes → |[email protected] Blair Hayes works…...


kdnuggets.com > how-to-build-effective-evals-for-ai-agents

How to Build Effective Evals for AI Agents

2+ hour, 9+ min ago   (882+ words) Learn how to build effective evals for AI agents, from designing clear tasks and choosing the right graders to building reliable eval harnesses and tracking changes over time. We'll start by looking at what makes agent evaluation different and how…...


aithority.com > machine-learning > fulcrum-announces-mcp-ai-toolkit-that-let-field-teams-create-fully-featured-end-to-end-digital-workflows-through-ai

Fulcrum Announces MCP & AI Toolkit That Let Field Teams Create Fully-Featured, End-to-End Digital Workflows Through AI

2+ hour, 4+ min ago   (220+ words) Fulcrum announced the launch of an MCP server and AI Toolkit for its Field Operations Management platform, which field organizations use to run, record, and close out their work....


dev.to > wayne_gakuo > vertex-ai-in-firebase-is-now-firebase-ai-logic-what-actually-changed-fbb

Vertex AI in Firebase is Now Firebase AI Logic: What Actually Changed

2+ hour, 29+ min ago   (200+ words) In May 2025, Firebase renamed and expanded it to Firebase AI Logic. The rename reflects a wider scope, not a different product category. Same client-side idea; more backends and features. The biggest addition. Prototype on the Spark (free) plan, then scale....


dev.to > mrdapperx > a-small-runbook-for-reliable-ai-automation-42h6

A Small Runbook for Reliable AI Automation

2+ hour, 29+ min ago   (535+ words) AI automation is easy to demo and surprisingly hard to trust. A tool call works in a notebook, then a network timeout, duplicate request, or half-written result appears in production. The fix is usually not a larger prompt. It is…...