Favorite When deploying Deep Learning models at scale, it is crucial to effectively utilize the underlying hardware to maximize performance and cost benefits. For production workloads requiring high throughput and low latency, the selection of the Amazon Elastic Compute Cloud (EC2) instance, model serving stack, and deployment architecture is very
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Shared by AWS Machine Learning July 25, 2023
Favorite This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. You’re likely familiar with the autocomplete suggestion feature when you search for something on Google or Amazon. Although the search terms in these scenarios are pretty common keywords or expressions
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Shared by AWS Machine Learning July 25, 2023
Favorite To learn from the past, we need to reflect on the past, and questions are crucial for prompting reflection. Here’s one question that makes all the difference. When you observe the conversations and presentations at conferences and in organisations, they are very often stories about the past. “We did
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Shared by Nick Milton July 24, 2023
Favorite Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. We aim
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Shared by Google AI Technology July 23, 2023
Favorite Rodents such as rats and mice are associated with a number of health risks and are known to spread more than 35 diseases. Identifying regions of high rodent activity can help local authorities and pest control organizations plan for interventions effectively and exterminate the rodents. In this post, we
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Shared by AWS Machine Learning July 22, 2023
Favorite Artificial intelligence (AI) has become an important and popular topic in the technology community. As AI has evolved, we have seen different types of machine learning (ML) models emerge. One approach, known as ensemble modeling, has been rapidly gaining traction among data scientists and practitioners. In this post, we
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Shared by AWS Machine Learning July 21, 2023
Favorite This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Enel, which started as Italy’s national entity for electricity, is today a multinational company present in 32 countries and the first private network operator in the world with 74 million users. It is
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Shared by AWS Machine Learning July 21, 2023
Favorite OSI is pleased to see that Meta is lowering barriers for access to powerful AI systems. Unfortunately, the tech giant has created the misunderstanding that LLaMa 2 is “open source” – it is not. Even assuming the term can be validly applied to a large language model comprising several
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Shared by voicesofopensource July 20, 2023
Favorite Posted by Donald Martin, Jr., Technical Program Manager, Head of Societal Context Understanding Tools and Solutions (SCOUTS), Google Research AI-related products and technologies are constructed and deployed in a societal context: that is, a dynamic and complex collection of social, cultural, historical, political and economic circumstances. Because societal contexts
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Shared by Google AI Technology July 20, 2023
Favorite Amazon SageMaker Model Cards enable you to standardize how models are documented, thereby achieving visibility into the lifecycle of a model, from designing, building, training, and evaluation. Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably
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Shared by AWS Machine Learning July 20, 2023
Shared by AWS Machine Learning July 25, 2023
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