Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, accuracy, and safety. Understanding the model lifecycle is essential for effective planning and management of AI applications built on Amazon Bedrock. Before migrating your applications, you can test these models through the Amazon Bedrock console or API to evaluate their performance and compatibility. …
Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren’t designed to catch. Prompt injection …
Read more “Guardrails at the gateway: Securing AI inference on GKE with Model Armor”
The ChatGPT-maker testified in favor of an Illinois bill that would limit when AI labs can be held liable—even in cases where their products cause “critical harm.”
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then trimming it down, or training a small one from scratch and accepting weaker performance.
Drowning in huge image folders and wasting hours manually sorting keepers from rejects? I built HybridScorer for exactly that pain. It’s a local GPU app that helps score big image sets by prompt match or aesthetic quality, then lets you quickly fix edge cases yourself and export clean selected / rejected folders without touching the …
Read more “Built a tool for anyone drowning in huge image folders: HybridScorer”
Enterprise multi-agent AI systems produce thousands of inter-agent interactions per hour, yet existing observability tools capture these dependencies without enforcing anything. OpenTelemetry and Langfuse collect telemetry but treat governance as a downstream analytics concern, not a real-time enforcement target. The result is an “observe-but-do-not-act” gap where policy violations are detected only after damage is done. …
Read more “Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems”
Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they need models that reflect proprietary knowledge and workflows — whether that means maintaining a consistent brand voice in customer communications, handling complex industry-specific workflows or accurately classifying intents in …
Read more “Customize Amazon Nova models with Amazon Bedrock fine-tuning”
In the world of AI/ML, data is the fuel that drives training and inference workloads. For Google Kubernetes Engine (GKE) users, Cloud Storage FUSE provides high-performance, scalable access to data stored in Google Cloud Storage. However, we learned from customers that getting the maximum performance out of Cloud Storage FUSE can be complex. Today, we …
Read more “New GKE Cloud Storage FUSE Profiles take the guesswork out of configuring AI storage”
A US appeals court ruling is at odds with a separate, lower court decision from March, leaving uncertainty about if and how the US military can use the AI company’s Claude model.