engblogs

Exploring seven critical ways networking enhances the performance, security, and scalability of AI workloads on Google Cloud, from secure API access to AI-driven network operations.

Leverage Google Cloud's Workload Manager to automate, enforce, and monitor FinOps cost management policies with customizable rules, continuous evaluation, and integrated reporting for proactive cloud financial governance.

Explore how children's books, comics, cartoons, and songs simplify language learning by combining engaging visuals, simple grammar, and cultural insights for beginners and beyond.

Introducing new local and isolated testing APIs for Cloudflare Workflows enables developers to reliably mock, introspect, and control multi-step durable execution workflows with vitest-pool-workers, improving debugging and test isolation.

Introduces Adaptive Spatial Tokenization to efficiently simulate large-scale deformable body interactions using attention-based learning, significantly improving scalability and accuracy over existing GNN methods.

RepTok leverages fine-tuned self-supervised vision transformer representations as a compact continuous latent space to enable efficient and high-quality image generation with reduced training costs.

Explore how Amazon Bedrock AgentCore Runtime's new direct code deployment method enables faster, simpler Python agent development without Docker, accelerating iterative AI agent prototyping and production deployment.

MLflow's new tools enable developers and domain experts to efficiently build, align, and scale custom LLM judges for accurate, domain-specific evaluation of AI agents using natural language instructions and human feedback.

Leveraging Vision Language Models and EasyOCR within a Spark ML pipeline on Databricks enables scalable, cost-effective de-identification of PHI in DICOM medical images, improving privacy compliance and processing speed.

AWS and OpenAI have formed a $38 billion multi-year partnership to leverage AWS’s advanced infrastructure, including EC2 UltraServers and NVIDIA GPUs, enabling scalable and efficient deployment of OpenAI’s AI workloads such as ChatGPT and next-generation models.

IndQA is a culturally nuanced benchmark designed to evaluate AI models' understanding and reasoning in Indian languages across diverse cultural domains, addressing limitations in existing multilingual benchmarks.

MIT researchers developed FSNet, a hybrid machine learning and optimization tool that rapidly solves complex problems like power grid management while guaranteeing feasible, constraint-satisfying solutions.