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MSD explores applying generative Al to improve the deviation management process using AWS services

Favorite This post is co-written with Hossein Salami and Jwalant Vyas from MSD.  In the biopharmaceutical industry, deviations in the manufacturing process are rigorously addressed. Each deviation is thoroughly documented, and its various aspects and potential impacts are closely examined to help ensure drug product quality, patient safety, and compliance.

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Shared by AWS Machine Learning November 20, 2025

Introducing Nano Banana Pro

Favorite Nano Banana Pro is our new image generation and editing model from Google DeepMind. View Original Source (blog.google/technology/ai/) Here.

Bringing tic-tac-toe to life with AWS AI services

Favorite Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative AI to the physical world by applying it to robotics and physical hardware. Inspired by this, we developed a

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Shared by AWS Machine Learning November 19, 2025

Using Spectrum fine-tuning to improve FM training efficiency on Amazon SageMaker AI

Favorite Optimizing generative AI applications relies on tailoring foundation models (FMs) using techniques such as prompt engineering, RAG, continued pre-training, and fine-tuning. Efficient fine-tuning is achieved by strategically managing hardware, training time, data volume, and model quality to reduce resource demands and maximize value. Spectrum is a new approach designed

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Shared by AWS Machine Learning November 19, 2025