How Jacob Collier helped shape the new MusicFX DJ
Google Labs worked with Jacob Collier to improve and simplify MusicFX DJ.
GOV.UK transforms its search function with help from Google Cloud
GOV.UK, the official website of the UK government, partnered with consultancy Kin + Carta and Google Cloud to improve its user experience and transform its search engine…
Generative AI foundation model training on Amazon SageMaker
To stay competitive, businesses across industries use foundation models (FMs) to transform their applications. Although FMs offer impressive out-of-the-box capabilities, achieving a true competitive edge often requires deep model customization through pre-training or fine-tuning. However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. …
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Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines
You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative AI models with the visual designer for Amazon SageMaker Pipelines. SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps). It accelerates your generative AI journey from prototype to production because you don’t need to …
Implement Amazon SageMaker domain cross-Region disaster recovery using custom Amazon EFS instances
Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Extensively used by data scientists and ML engineers across various industries, this robust tool provides high availability and uninterrupted access for its users. When working with SageMaker, …
Amazon Bedrock Custom Model Import now generally available
Today, we’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Whether leveraging fine-tuned models like Meta Llama, Mistral Mixtral, and IBM Granite, or developing proprietary models based on popular …
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Deploy a serverless web application to edit images using Amazon Bedrock
Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. Image editing is used in various sectors, such as graphic designing, marketing, and social media. Users rely on specialized tools for editing images. Building a custom solution for this task can be complex. However, by using various AWS services, you …
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Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications
Many organizations are building generative AI applications powered by large language models (LLMs) to boost productivity and build differentiated experiences. These LLMs are large and complex and deploying them requires powerful computing resources and results in high inference costs. For businesses and researchers with limited resources, the high inference costs of generative AI models can …
Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2
In Part 1 of this series, we explored best practices for creating accurate and reliable agents using Amazon Bedrock Agents. Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. Agents use the reasoning capability of foundation models (FMs) to create a plan that decomposes the problem into multiple steps. The …
How we used AI to build our newest Open Buildings dataset
Google’s Open Buildings 2.5D Temporal Dataset is helping to fill a major gap in data for population and density in the developing world.