DK

DK : expertise unique pour la mesure de l’empreinte carbone des campagnes publicitaires & communication durable

DK a été créée en 2021 avec une conviction simple : on ne peut réduire que ce que l’on mesure. Notre mission est d’offrir à l’ensemble de la chaîne publicitaire – annonceurs, agences, régies et médias – une vision claire, comparable et vérifiable de l’empreinte carbone de leurs campagnes.

Modern DevOps Guide to Architecting on AWS

This technical guide outlines modern DevOps practices for architecting reliable, scalable systems on AWS. It argues the DevOps role has shifted from console-driven sysadmin work to platform engineering—building automated, self-service internal developer platforms. Key recommendations include treating infrastructure as code using tools like Terraform, Pulumi, and the AWS CDK; adopting a multi-account strategy with AWS Organizations and Control Tower for isolation, security, and cost attribution; embedding security via automation (e.g., OIDC for CI/CD, continuous posture checks with Security Hub and GuardDuty); making cloud cost optimization an engineering metric (Graviton, VPC Endpoints, tagging); and improving observability with tracing tools such as AWS X-Ray or OpenTelemetry. The piece emphasizes developer experience via “golden paths” and self-service modules to maintain velocity while ensuring secure, compliant deployments.

Open‑Source Real‑Time LLM Hallucination Guardrail Released

An author (anulum) published Director-Class AI (director-ai), an open-source Python library that monitors streaming LLM tokens and halts generation when it detects hallucinations. The tool combines NLI (DeBERTa/FactCG) scoring with optional RAG (retrieval‑augmented generation) grounding to evaluate claims against source documents. The project provides two-line integration wrappers for OpenAI/Anthropic clients, integrations with ecosystems like LangChain and LlamaIndex, and benchmarks showing measured performance (balanced accuracy 75.8% on FactCG, hybrid E2E catch rate 90.7%, GPU latencies from 14.6ms/pair down to 0.5ms/pair on L40S). The repo includes tests, provenance artifacts, and an AGPL‑3.0 license (commercial licensing offered). The author also lists honest limitations (NLI needs KB grounding for domain use, ONNX CPU slower, VRAM needs for long docs) and invites feedback from LLM reliability and RAG pipeline practitioners.