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Favorite The Checks team shares three things that privacy professionals should consider when thinking about AI and privacy in 2024. View Original Source (blog.google/technology/ai/) Here.
Favorite A look at our collaboration with humanitarian organizations to use flood forecasting technology. View Original Source (blog.google/technology/ai/) Here.
Favorite One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings capture the information content in bodies of text, allowing natural language
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Shared by AWS Machine Learning February 2, 2024
Favorite Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturing, healthcare and natural sciences. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can meaningfully reduce inventory costs and increase revenue. Deep
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Shared by Google AI Technology February 2, 2024
Favorite Google’s Super Bowl ad shows how Pixel’s Guided Frame helps blind or low vision people take great pictures or selfies. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Rishabh Tiwari, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research Machine learning models in the real world are often trained on limited data that may contain unintended statistical biases. For example, in the CELEBA celebrity image dataset, a disproportionate number of female celebrities have blond hair,
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Favorite During 2023, OSI and many others across the Open Source communities spent a great deal of time and energy engaging with the various co-legislators of the European Union (EU) concerning the Cyber Resilience Act (CRA). Together with a revision to Europe’s Product Liability Directive (PLD), the CRA will bring
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Shared by voicesofopensource February 2, 2024
Favorite Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. This technique is achieved through the use of ML algorithms that enable the understanding of the
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Favorite Data is the foundation to capturing the maximum value from AI technology and solving business problems quickly. To unlock the potential of generative AI technologies, however, there’s a key prerequisite: your data needs to be appropriately prepared. In this post, we describe how use generative AI to update and
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Favorite Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Understanding and prioritizing resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements.
Read More Shared by AWS Machine Learning February 1, 2024