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 > luiscruzcwb > engenharia-de-prompts-de-zero-shot-a-retrieval-augmented-generation-44aj

Engenharia de Prompts: de Zero-shot a Retrieval Augmented Generation

28+ min ago   (693+ words) Cada técnica resolve uma limitação específica da anterior. Vale seguir essa ordem para entender por que elas existem. Zero-shot é o uso mais simples de um LLM: você descreve a tarefa e pede a resposta, sem fornecer nenhum exemplo de…...


dev.to > hexisteme > your-llm-telemetry-table-does-not-have-one-denominator-e89

Your LLM Telemetry Table Does Not Have One Denominator

55+ min ago   (960+ words) Originally published on hexisteme notes. I had an LLM telemetry report with the usual reassuring furniture: medians, interquartile ranges, sample sizes, and bootstrap intervals. The rows were grouped by model. It looked ready for comparison. It was actually several different…...


dev.to > marek_builds > -beyond-transformers-a-mathematical-critique-of-cross-lingual-diffusion-architectures-ng7

# Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures

54+ min ago   (424+ words) The current state of multilingual NLP is dominated by transformer-based architectures that often treat cross-lingual alignment as a secondary optimization task. For researchers and engineers working with low-resource languages or requiring strict semantic preservation, the "black box" nature of proprietary…...


dev.to > magickit > i-built-a-100-free-ai-toolbox-with-no-sign-up-heres-how-1m2b

I Built a 100% Free AI Toolbox with No Sign-Up (Here's How)

54+ min ago   (202+ words) So I spent a few evenings building MagicKit — three tools in one page: The entire backend sits at around 60 MB RAM, because my server only has 1.6 GB to work with. The free image API only allows one queued request per…...


dev.to > edgaras > running-the-paddleocr-pdf-ocr-service-as-a-one-shot-job-locally-and-on-azure-container-apps-3ehi

Running the PaddleOCR PDF OCR service as a one-shot job, locally and on Azure Container Apps

58+ min ago   (527+ words) paddleocr-pdf-api runs as an HTTP server that accepts PDF uploads and returns markdown. Setting... Tagged with azure, paddleocr, docker, ocr....


dev.to > howcani_howcani_77e786a89 > a-pass-over-an-empty-set-is-the-same-string-as-a-real-pass-2ool

A PASS over an empty set is the same string as a real pass

1+ hour, 48+ min ago   (833+ words) Our journal's tree carries four small instruments that print a verdict over a set of files. A pre-commit hook runs them; the run's output goes into the commit message and the pull-request body, where it serves as the record that…...


dev.to > borisbob_91 > owllayer-ai-letting-ai-agents-act-on-your-ui-instead-of-replacing-it-529d

OwlLayer AI: Letting AI Agents Act on Your UI Instead of Replacing It

2+ hour, 15+ min ago   (22+ words) Most AI-in-product integrations fall into two camps, and both have a ceiling. A chatbot bolted onto... Tagged with ai, webdev, javascript, opensource....


dev.to > stark_zhuang_df5076f35c68 > 1551-elasticsearch-and-1462-memcached-endpoints-two-cache-layers-with-different-defaults-4eo6

1,551 Elasticsearch and 1,462 Memcached Endpoints: Two Cache Layers With Different Defaults

2+ hour, 33+ min ago   (836+ words) Two ZoomEye host searches collected on 18 September 2026 returned 1,551 observable services on port 9200 and 1,462 on port 11211. Port 9200 is Elasticsearch's HTTP interface. Port 11211 is Memcached's default listener. The counts are similar; the security stories are not. Elasticsearch: authentication that became a default…...


dev.to > yousrasd > base-chat-and-reasoning-models-how-are-they-different-3i0m

Base, Chat and Reasoning Models: How Are They Different?

2+ hour, 33+ min ago   (581+ words) When exploring large language models, you will often come across terms such as base model, chat model and reasoning model. These models are each useful, and describe different aspects of a model: how it was trained, how it behaves and…...


dev.to > cornelcroi > 178-reports-in-one-afternoon-what-a-publish-burst-does-to-an-llm-pipeline-4jj9

178 reports in one afternoon: what a publish burst does to an LLM pipeline

2+ hour, 57+ min ago   (314+ words) On a Thursday afternoon a traveller published 178 trip reports at once. Two years on the road, Canada... Tagged with ai, llm, webdev, buildinpublic....