Favorite Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an NFL game summary, products mentioned
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Shared by AWS Machine Learning June 18, 2024
Favorite As of this writing, Ghana ranks as the 27th most polluted country in the world, facing significant challenges due to air pollution. Recognizing the crucial role of air quality monitoring, many African countries, including Ghana, are adopting low-cost air quality sensors. The Sensor Evaluation and Training Centre for West
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Shared by AWS Machine Learning June 18, 2024
Favorite In large language model (LLM) training, effective orchestration and compute resource management poses a significant challenge. Automation of resource provisioning, scaling, and workflow management is vital for optimizing resource usage and streamlining complex workflows, thereby achieving efficient deep learning training processes. Simplified orchestration enables researchers and practitioners to focus
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Shared by AWS Machine Learning June 17, 2024
Favorite This post is co-written with Shamik Ray, Srivyshnav K S, Jagmohan Dhiman and Soumya Kundu from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence
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Shared by AWS Machine Learning June 17, 2024
Favorite Explaining the concept of Data information After much debate regarding training data, @stefano published a summary of the positions expressed and some clarifications about the terminology included in draft v.0.0.8. You can read the rationale about it and share your thoughts on the forum. Initial thoughts: @Senficon (Felix Reda)
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Shared by voicesofopensource June 17, 2024
Favorite There seems to be some confusion caused by the concept of Data information included in the draft v0.0.8 of the Open Source AI Definition. Some readers may have seen the original dataset included in the list of optional components and quickly jumped to the wrong conclusions. This post clarifies
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Shared by voicesofopensource June 14, 2024
Favorite Test your knowledge of Google updates with our May news quiz. View Original Source (blog.google/technology/ai/) Here.
Favorite Google launches GARA program to fund and support groundbreaking research in computing and technology, addressing global challenges. View Original Source (blog.google/technology/ai/) Here.
Favorite Photo by Zbynek Burival on Unsplash Time series forecasting is a specific machine learning (ML) discipline that enables organizations to make informed planning decisions. The main idea is to supply historic data to an ML algorithm that can identify patterns from the past and then use those patterns to
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Shared by AWS Machine Learning June 12, 2024
Favorite In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. However, traditional document processing workflows often involve complex and time-consuming manual tasks, hindering productivity and scalability. In this post, we
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Shared by AWS Machine Learning June 12, 2024
Shared by AWS Machine Learning June 18, 2024
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