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Favorite Earlier this year, we launched the second iteration of our GenAI Intensive course, which attracted over 280,000 learners. Now, we’re taking things to the next level with… View Original Source (blog.google/technology/ai/) Here.
Favorite This post was written with Sarah Ostermeier from Comet. As enterprise organizations scale their machine learning (ML) initiatives from proof of concept to production, the complexity of managing experiments, tracking model lineage, and managing reproducibility grows exponentially. This is primarily because data scientists and ML engineers constantly explore different
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Shared by AWS Machine Learning September 23, 2025
Favorite Updates to Google Play include a new You tab, plus new features in the Apps tab and in Google Play Games. View Original Source (blog.google/technology/ai/) Here.
Favorite Building an AI agent that can handle a real-life use case in production is a complex undertaking. Although creating a proof of concept demonstrates the potential, moving to production requires addressing scalability, security, observability, and operational concerns that don’t surface in development environments. This post explores how Amazon Bedrock AgentCore
Read More Shared by AWS Machine Learning September 20, 2025
Favorite Here’s how I’ve been using Gemini’s photo-to-video tool as a multimedia storyteller, plus some tips for making your own videos. View Original Source (blog.google/technology/ai/) Here.
Favorite As the new Director of the USPTO begins his term, Google’s sharing policy recommendations to help America maintain its AI Leadership. View Original Source (blog.google/technology/ai/) Here.
Favorite Organizations building custom machine learning (ML) models often have specialized requirements that standard platforms can’t accommodate. For example, healthcare companies need specific environments to protect patient data while meeting HIPAA compliance, financial institutions require specific hardware configurations to optimize proprietary trading algorithms, and research teams need flexibility to experiment
Read More Shared by AWS Machine Learning September 19, 2025
Favorite As organizations scale their use of generative AI, many workloads require cost-efficient, bulk processing rather than real-time responses. Amazon Bedrock batch inference addresses this need by enabling large datasets to be processed in bulk with predictable performance—at 50% lower cost than on-demand inference. This makes it ideal for tasks
Read More Shared by AWS Machine Learning September 19, 2025
Favorite Amazon Bedrock now offers Stability AI Image Services: 9 tools that improve how businesses create and modify images. The technology extends Stable Diffusion and Stable Image models to give you precise control over image creation and editing. Clear prompts are critical—they provide art direction to the AI system. Strong
Read More Shared by AWS Machine Learning September 19, 2025
Favorite This post was written with Alex Gnibus of Stability AI. Stability AI Image Services are now available in Amazon Bedrock, offering ready-to-use media editing capabilities delivered through the Amazon Bedrock API. These image editing tools expand on the capabilities of Stability AI’s Stable Diffusion 3.5 models (SD3.5) and Stable
Read More Shared by AWS Machine Learning September 19, 2025