engblogs

Concise introduction to GPT-5.4 mini and nano, highlighting their compact architectures and practical implications for developers.

AMES presents a backend-agnostic, two-stage late-interaction framework that unifies text, image, and video into a shared space for approximate multimodal enterprise search, employing ANN-based parallel token search with per-document Top-M MaxSim re-ranking in production Solr deployments.

Airbnb's evolution from vendor-driven observability to internal ownership, sharing hard-won lessons on reliability and platform visibility.

Case study of using DSPy to adapt and optimize Dash's relevance judge across models, yielding lower NMSE, improved reliability, and scalable, cost-efficient production.

Previewing multi-cluster GKE Inference Gateway enables globally scalable, fault-tolerant AI inference by intelligently routing across multiple clusters and regions with model-aware load balancing and shared accelerator resources.

Atos partners with AWS to scale AI education through the AWS AI League, combining hands-on, gamified learning with SageMaker JumpStart to fine-tune LLMs for real-world insurance underwriting and deliver measurable AI fluency at scale.

Five women in engineering debunk career myths by sharing winding, cross-domain paths that emphasize curiosity, adaptability, and relationships over a fixed plan.

A technical explainer tracing how the names of the days of the week arose, from Babylonian celestial naming to Latin and Germanic adaptations, and including numerical systems across languages.

Databricks' AI-powered, NLP-driven Genie Research Agent unifies subsurface, IoT, and ERP data in a lakehouse to enable real-time, cross-domain insights that cut NPT and boost EBITDA.

How TetraScience's production-ready Scientific AI platform unifies heterogeneous lab data and automates end-to-end workflows across discovery, development, manufacturing, and quality to accelerate biopharma with explainable, audit-ready AI built on Databricks and NVIDIA infrastructure.

Lambda's NVIDIA GTC 2026 debut outlines the Superintelligence Cloud architecture, pairing NVIDIA Vera CPUs with NVL72 Superclusters, Bare Metal Instances, NVIDIA Quantum-X Photonics, and STX-powered storage to accelerate agentic AI and scalable AI factories.

AWS and NVIDIA expand a production-ready AI stack by scaling GPU-backed infrastructure, accelerating interconnects for disaggregated LLM inference, and enabling Reinforcement Fine-Tuning on Bedrock to move AI from pilot to production.