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AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

AWS Machine Learning Blog

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. The solution lay in what’s known as transfer learning.

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Harnessing Machine Learning on Big Data with PySpark on AWS

ODSC - Open Data Science

Be sure to check out his talk, “ Build Classification and Regression Models with Spark on AWS ,” there! In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. A cordial greeting to all data science enthusiasts!

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. It is highly configurable and can integrate with other tools like Git, Docker, and AWS.

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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

AWS Machine Learning Blog

Nature Reviews Drug Discovery 22, 260–260 (2023). Similarly, pLMs are pre-trained on large protein sequence databases using unlabeled, self-supervised learning. For example, in 2023, a research team described training a 100 billion-parameter pLM on 768 A100 GPUs for 164 days! COVID-19 Spikevax Moderna $21.8

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This AI newsletter is all you need (#36)

Towards AI

Last Updated on March 4, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. The strategic partnership between Hugging Face and Amazon Web Services (AWS) looks like a positive step in this direction and should increase the availability of open-source data sets and models hosted on Hugging Face.

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Simplify medical image classification using Amazon SageMaker Canvas

AWS Machine Learning Blog

Train an ML model on the preprocessed images, using a supervised learning approach to teach the model to distinguish between different skin types. Prerequisites Access to an AWS account with permissions to create the resources described in the steps section. image-classify-2023 and select Import data button.

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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

Between December 2022 and April 2023, 404 participants from 59 countries signed up to solve the problems posed by the two tracks, and 82 went on to submit solutions. Self-supervised learning allows for effective use of unlabeled data for training models for representation learning tasks.