AcruxCore launched as an open-source, Apache 2.0 platform that versions both prompts and the tools they call, runs them through a single gateway, and traces every call, tool failure and change. The co…
A developer outlined practical patterns for versioning and rolling back production AI models, centered on saving a version manifest — including artifact hash, training metrics, training-data hash and …
Amazon Web Services detailed Amazon SageMaker AI multi-turn reinforcement learning (MTRL), a fine-tuning capability that trains LLM search agents across full multi-turn trajectories rather than single…
A developer outlines MLOps best practices for 2026, arguing that while model training has become trivial, deploying reliable, scalable, and compliant models is harder than ever amid agentic AI, the EU…
A developer published a walkthrough for building a production-grade end-to-end MLOps pipeline around the Titanic survival prediction dataset, covering data versioning with DVC, validation, scikit-lear…
DataTalks.Club offers five free, community-driven Zoomcamps covering data engineering, machine learning, MLOps, LLMs, and AI development, with course materials available on GitHub for self-paced study…
A developer outlined best practices for evaluating AI models, emphasizing a multi-layered framework combining standardized benchmarks like MMLU and HumanEval, adversarial red teaming for prompt inject…
A developer outlined disaster recovery strategies for web applications hosted on Azure Kubernetes Service (AKS) that depend on more than 50 on-premises machine learning inference services, adapting th…
Vinayak Garg, a computer science undergraduate from Delhi, announced his intention to document the challenges of deploying machine learning models in production, including Docker, AWS EC2, and CI/CD p…
A tutorial demonstrates how to build, track, compare, and register scikit-learn pipelines that integrate large language models using Scikit-LLM and MLflow, with code for logging multiple pipeline vers…
Zepto, an Indian quick-commerce platform, reports that its evaluation-first AI agents, built on Databricks and MLflow, now handle over 80% of customer support tickets, cutting support costs by 65% and…
An engineer detailed a journey fine-tuning LLMs from a local Apple Silicon setup to production on AWS SageMaker, reporting that moving training from an M4 Mac Mini to a SageMaker ml.g4dn.xlarge spot i…
AWS account architecture for MLflow model governance across multiple accounts requires either a hub-and-spoke topology using AWS Resource Access Manager (AWS RAM) or a hybrid isolation model for regul…
AWS published a guide for governing ML models across accounts using MLflow and Amazon SageMaker AI Model Registry sync, detailing hub-and-spoke and hybrid topologies for regulated environments. The po…
AWS announced an enhanced sync between managed MLflow on Amazon SageMaker AI and the SageMaker AI Model Registry, automatically carrying training metrics, evaluation results, lineage, and lifecycle st…
Docker Captain and AI Engineer Yhary from Colombia built a Docker Sandbox Kit mixin that automatically starts an MLflow tracking server for Claude Code, enabling out-of-the-box experiment logging and …
Databricks has released the Big Book of AgentOps, a guide to the people, processes, and technologies needed to deploy governed and reliable AI agents at enterprise scale, covering architecture, evalua…
Smartsheet is hiring a Principal Software Engineer for Observability & Telemetry Data in Bellevue, WA, with a salary range of $223k–258k per year, to lead the architecture of its telemetry data platfo…
Rho, a modern banking platform for startups, is hiring a Founding Senior Data Scientist/ML in Belgrade for a hybrid role, with responsibilities spanning model building and ML infrastructure. The role …
A developer has introduced Gubernator, a single-binary container orchestrator written in Go, which can deploy a complete MLOps suite including JupyterLab, MLflow, MinIO, and Ollama in under 60 seconds…