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23 Best Free NLP Datasets for Machine Learning

Iguazio

The list is divided into a number of groups and types: Q&A Reviews and Ratings Sentiment Analysis Synonyms Emails Long-form Content Audio You can use these datasets for a number of use cases, like creating personal assistants, automating customer service, language translation, and more. 1,473 sentences were labeled as answer sentences.

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Crossing the demo-to-production chasm with Snorkel Custom

Snorkel AI

Instead, LLMs have to be tuned for enterprises’ unique use cases–and success here is all about the quality of the labeled, curated data this relies on. Today, we help some of the world’s most sophisticated enterprises label and develop their data for tuning LLMs with our flagship platform, Snorkel Flow.

AI 80
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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. To train this model, we need a labeled ground truth subset of the Low Altitude Disaster Imagery (LADI) dataset.

AWS 85
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Announcing Rekogniton Custom Moderation: Enhance accuracy of pre-trained Rekognition moderation models with your data

AWS Machine Learning Blog

Amazon Rekognition uses a hierarchical taxonomy to label inappropriate or unwanted content with 10 top-level moderation categories (such as violence, explicit, alcohol, or drugs) and 35 second-level categories. One such capability is Amazon Rekognition Content Moderation , which detects inappropriate or unwanted content in images and videos.

AWS 107
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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning Blog

Manually creating CTDs is incredibly labor-intensive, requiring up to 100,000 hours per year for a typical large pharma company. Users can quickly review and adjust the computer-generated reports before submission. Users then review and edit the documents, where necessary, and submit the same to the central governing bodies.

AWS 101
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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. The key differentiator? They trained it on 100x the amount of data.

AI 145
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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. The key differentiator? They trained it on 100x the amount of data.

AI 141