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Explore advanced cost monitoring, custom tagging, and reporting strategies to proactively manage and optimize Amazon Bedrock generative AI expenses using AWS tools like CloudWatch, Lambda, and Cost Explorer.

Leverage Amazon Bedrock and AWS services to build secure, scalable generative AI solutions that streamline and empower product teams' creative workflows across text, image, and audio content.

Half-Quadratic Quantization (HQQ) offers a fast, calibration-free approach to quantizing large machine learning models, achieving competitive accuracy and significant compression speed-ups compared to existing methods.

ChatGPT Atlas is a new AI-powered web browser integrating ChatGPT directly to enhance browsing with memory, agent mode, and personalized automation.

ChatGPT will discontinue on WhatsApp after January 15, 2026, encouraging users to transition to the ChatGPT app across multiple platforms while preserving chat history through account linking.

Pinterest leverages dynamic keyword extraction, hierarchical clustering, and large language models to identify and rank personalized user journeys, enhancing recommendation systems and user engagement.

The MIT-IBM Watson AI Lab exemplifies collaborative innovation in AI, advancing efficient, domain-specific models and transforming research into impactful real-world applications across industries.

Lambda strengthens its leadership with the appointment of Stacey Finerman as VP, Investor Relations to accelerate growth in AI infrastructure and investor engagement.

Explore three essential Japanese phrases that embody the cultural value of social harmony (wa) by expressing respect, humility, and cooperation in everyday interactions.

Step-by-step guide to deploying Amazon SageMaker Canvas models using SageMaker Serverless Inference for scalable, cost-efficient, no-code machine learning model deployment.

Agentforce’s Agent Graph introduces hybrid reasoning with graph-based workflows to deliver reliable, deterministic, and enterprise-scale LLM agents that overcome challenges of unpredictability and context loss in AI-driven conversational systems.

Meta's Disaggregated Scheduled Fabric (DSF) revolutionizes AI training networks by utilizing a disaggregated, VOQ-based architecture and innovative traffic management techniques to scale GPU clusters efficiently while overcoming traditional fabric challenges.