Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

Favorite There have been many recent advancements in the NLP domain. Pre-trained models and fully managed NLP services have democratised access and adoption of NLP. Amazon Comprehend is a fully managed service that can perform NLP tasks like custom entity recognition, topic modelling, sentiment analysis and more to extract insights from data

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Shared by AWS Machine Learning July 30, 2022

Identify the location of anomalies using Amazon Lookout for Vision at the edge without using a GPU

Favorite Automated defect detection using computer vision helps improve quality and lower the cost of inspection. Defect detection involves identifying the presence of a defect, classifying types of defects, and identifying where the defects are located. Many manufacturing processes require detection at a low latency, with limited compute resources, and

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Shared by AWS Machine Learning July 30, 2022

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

Favorite This is a guest post co-written with Mutisya Ndunda from Trumid. Like many industries, the corporate bond market doesn’t lend itself to a one-size-fits-all approach. It’s vast, liquidity is fragmented, and institutional clients demand solutions tailored to their specific needs. Advances in AI and machine learning (ML) can be

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Shared by AWS Machine Learning July 26, 2022

Build taxonomy-based contextual targeting using AWS Media Intelligence and Hugging Face BERT

Favorite As new data privacy regulations like GDPR (General Data Protection Regulation, 2017) have come into effect, customers are under increased pressure to monetize media assets while abiding by the new rules. Monetizing media while respecting privacy regulations requires the ability to automatically extract granular metadata from assets like text,

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Shared by AWS Machine Learning July 21, 2022