Favorite In recent years, the emergence of large language models (LLMs) has accelerated AI adoption across various industries. However, to further augment LLMs’ capabilities and effectively use up-to-date information and domain-specific knowledge, integration with external data sources is essential. Retrieval Augmented Generation (RAG) has gained attention as an effective approach
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Shared by AWS Machine Learning July 23, 2025
Favorite At the AWS Summit in New York City, we introduced a comprehensive suite of model customization capabilities for Amazon Nova foundation models. Available as ready-to-use recipes on Amazon SageMaker AI, you can use them to adapt Nova Micro, Nova Lite, and Nova Pro across the model training lifecycle, including pre-training,
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Shared by AWS Machine Learning July 23, 2025
Favorite What does it take to enable billions of people to truly ask anything in Search?In the latest episode of the Google AI: Release Notes podcast, host Logan Kilpatrick sits … View Original Source (blog.google/technology/ai/) Here.
Favorite Learn more about new creation tools in Google Photos, like Photo to video, Remix and more. View Original Source (blog.google/technology/ai/) Here.
Favorite Applications are now open for the first-ever Google for Startups Gemini Founders Forum, a two-day, in-person summit hosted by Google DeepMind and Google Cloud.Held Novem… View Original Source (blog.google/technology/ai/) Here.
Favorite Data science teams working with artificial intelligence and machine learning (AI/ML) face a growing challenge as models become more complex. While Amazon Deep Learning Containers (DLCs) offer robust baseline environments out-of-the-box, customizing them for specific projects often requires significant time and expertise. In this post, we explore how to
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Shared by AWS Machine Learning July 22, 2025
Favorite In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator Challenge (GENIAC)—a Japanese national program to boost generative AI by providing companies with funding, mentorship, and massive compute resources for foundation model (FM) development. AWS was selected as the cloud provider for GENIAC’s second
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Shared by AWS Machine Learning July 22, 2025
Favorite In the manufacturing world, valuable insights from service reports often remain underutilized in document storage systems. This post explores how Amazon Web Services (AWS) customers can build a solution that automates the digitisation and extraction of crucial information from many reports using generative AI. The solution uses Amazon Nova
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Shared by AWS Machine Learning July 21, 2025
Favorite This post was written with Zach Heath of Kyruus Health. When health plan members need care, they shouldn’t need a dictionary. Yet millions face this exact challenge—describing symptoms in everyday language while healthcare references clinical terminology and complex specialty classifications. This disconnect forces members to become amateur medical translators,
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Shared by AWS Machine Learning July 21, 2025
Favorite Extracting meaningful insights from unstructured data presents significant challenges for many organizations. Meeting recordings, customer interactions, and interviews contain invaluable business intelligence that remains largely inaccessible due to the prohibitive time and resource costs of manual review. Organizations frequently struggle to efficiently capture and use key information from these
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Shared by AWS Machine Learning July 21, 2025
Shared by AWS Machine Learning July 23, 2025
