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Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. It plays a crucial role in every model’s development process …

Generative AI use cases to inspire your Startup or Small Business

Everyday, more and more small businesses and startups are leveraging generative AI for their internal and customer-facing needs, with over 70% of gen AI’s billion dollar-unicorns using Google Cloud. As the technology continues moving at a rapid pace, with almost daily announcements of products and features, businesses are discovering new use cases and ways to …

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What Is Retrieval-Augmented Generation?

To understand the latest advance in generative AI, imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute —  requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases …

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Ghostbuster: Detecting Text Ghostwritten by Large Language Models

The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so well, in fact, that they’ve become a problem. Students have begun using these models to ghostwrite assignments, leading some schools to ban ChatGPT. In addition, these models are also prone to producing text with factual …