The CMA’s designation of Google’s mobile ecosystem
We are disappointed by the CMA’s designation of an open mobile ecosystem with strategic market status.
Serverless deployment for your Amazon SageMaker Canvas models
Deploying machine learning (ML) models into production can often be a complex and resource-intensive task, especially for customers without deep ML and DevOps expertise. Amazon SageMaker Canvas simplifies model building by offering a no-code interface, so you can create highly accurate ML models using your existing data sources and without writing a single line of …
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Building a multi-agent voice assistant with Amazon Nova Sonic and Amazon Bedrock AgentCore
Amazon Nova Sonic is a foundation model that creates natural, human-like speech-to-speech conversations for generative AI applications, allowing users to interact with AI through voice in real-time, with capabilities for understanding tone, enabling natural flow, and performing actions. Multi-agent architecture offers a modular, robust, and scalable design pattern for production-level voice assistants. This blog post …
Accelerate large-scale AI training with Amazon SageMaker HyperPod training operator
Large-scale AI model training faces significant challenges with failure recovery and monitoring. Traditional training requires complete job restarts when even a single training process fails, resulting in additional downtime and increased costs. As training clusters expand, identifying and resolving critical issues like stalled GPUs and numerical instabilities typically requires complex custom monitoring code. With Amazon SageMaker …
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Start learning all things AI on the new Google Skills
Google Skills is a new home for building skills in AI, and learning about other topics like data analytics and security.
Leveling up your developer experience in Google AI Studio
AI Studio has released new updates that give developers even more control.
How TP ICAP transformed CRM data into real-time insights with Amazon Bedrock
This post is co-written with Ross Ashworth at TP ICAP. The ability to quickly extract insights from customer relationship management systems (CRMs) and vast amounts of meeting notes can mean the difference between seizing opportunities and missing them entirely. TP ICAP faced this challenge, having thousands of vendor meeting records stored in their CRM. Using …
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Principal Financial Group accelerates build, test, and deployment of Amazon Lex V2 bots through automation
This guest post was written by Mulay Ahmed and Caroline Lima-Lane of Principal Financial Group. The content and opinions in this post are those of the third-party authors and AWS is not responsible for the content or accuracy of this post. With US contact centers that handle millions of customer calls annually, Principal Financial Group® …
Beyond vibes: How to properly select the right LLM for the right task
Choosing the right large language model (LLM) for your use case is becoming both increasingly challenging and essential. Many teams rely on one-time (ad hoc) evaluations based on limited samples from trending models, essentially judging quality on “vibes” alone. This approach involves experimenting with a model’s responses and forming subjective opinions about its performance. However, …
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Splash Music transforms music generation using AWS Trainium and Amazon SageMaker HyperPod
Generative AI is rapidly reshaping the music industry, empowering creators—regardless of skill—to create studio-quality tracks with foundation models (FMs) that personalize compositions in real time. As demand for unique, instantly generated content grows and creators seek smarter, faster tools, Splash Music collaborated with AWS to develop and scale music generation FMs, making professional music creation …