Harness large language models in fake news detection

Favorite Fake news, defined as news that conveys or incorporates false, fabricated, or deliberately misleading information, has been around as early as the emergence of the printing press. The rapid spread of fake news and disinformation online is not only deceiving to the public, but can also have a profound

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Shared by AWS Machine Learning November 15, 2023

Flag harmful content using Amazon Comprehend toxicity detection

Favorite Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners to provide a safe and inclusive environment where they can freely consume content and contribute. Content moderators are often employed to review user-generated content and

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Shared by AWS Machine Learning November 15, 2023

Explore advanced techniques for hyperparameter optimization with Amazon SageMaker Automatic Model Tuning

Favorite Creating high-performance machine learning (ML) solutions relies on exploring and optimizing training parameters, also known as hyperparameters. Hyperparameters are the knobs and levers that we use to adjust the training process, such as learning rate, batch size, regularization strength, and others, depending on the specific model and task at

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Shared by AWS Machine Learning November 11, 2023

Customizing coding companions for organizations

Favorite Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. While the large size of the training corpus enables the models to generate code for commonly used functionality, these models are unaware of code in private repositories and the associated coding

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Shared by AWS Machine Learning November 10, 2023