Favorite 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
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Shared by AWS Machine Learning October 22, 2025
Favorite 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
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Shared by AWS Machine Learning October 22, 2025
Favorite This post was written with Audra Devoto, Owen Janson, and Christopher Brown of Metagenomi, and Adam Perry of Tennex. A promising strategy to augment the extensive natural diversity of high value enzymes is to use generative AI, specifically protein language models (pLMs), trained on known enzymes to create orders
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Shared by AWS Machine Learning October 22, 2025
Favorite The Open Source Initiative (OSI) is once again partnering with Perforce OpenLogic & Zend, in collaboration with the Eclipse Foundation, for the 2026 State of Open Source Survey, the industry’s most comprehensive study of global Open Source adoption trends. Now in its fifth year, this annual survey captures how
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Shared by voicesofopensource October 22, 2025
Favorite We are disappointed by the CMA’s designation of an open mobile ecosystem with strategic market status. View Original Source (blog.google/technology/ai/) Here.
Favorite Google Skills is a new home for building skills in AI, and learning about other topics like data analytics and security. View Original Source (blog.google/technology/ai/) Here.
Favorite AI Studio has released new updates that give developers even more control. View Original Source (blog.google/technology/ai/) Here.
Favorite Multimodal fine-tuning represents a powerful approach for customizing vision large language models (LLMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or output formatting requirements.
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Shared by AWS Machine Learning October 17, 2025
Favorite Artificial Intelligence (AI) is transforming the quick-service restaurant industry, particularly in drive-thru operations where efficiency and customer satisfaction intersect. Traditional systems create significant obstacles in service delivery, from staffing limitations and order accuracy issues to inconsistent customer experiences across locations. These challenges, combined with rising labor costs and demand
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Shared by AWS Machine Learning October 17, 2025
Favorite Organizations often face challenges when implementing single-shot fine-tuning approaches for their generative AI models. The single-shot fine-tuning method involves selecting training data, configuring hyperparameters, and hoping the results meet expectations without the ability to make incremental adjustments. Single-shot fine-tuning frequently leads to suboptimal results and requires starting the entire
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Shared by AWS Machine Learning October 17, 2025
Shared by AWS Machine Learning October 22, 2025
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