Today, we are excited to announce the Mixtral-8x22B large language model (LLM), developed by Mistral AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models so you …
Mixtral 8x22B is now available in Amazon SageMaker JumpStart Read More »
Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs). FMs are trained on a broad …
Building Generative AI prompt chaining workflows with human in the loop Read More »
Google invests $2 million in INSAIT, the Institute for Computer Science, Artificial Intelligence and Technology in Sofia, Bulgaria.
This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. LotteON operates various specialty stores, including fashion, beauty, luxury, and kids, and strives to provide a personalized shopping …
How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps Read More »
Gemini comes to Google Workspace for Education with generative AI and more data protection.
For Global Accessibility Awareness Day, here’s new updates to our accessibility products.
Learn more about (almost) everything announced at Google I/O 2024.
Crafting new questions for exams and quizzes can be tedious and time-consuming for educators. The time required varies based on factors like subject matter, question types, experience level, and class level. Multiple-choice questions require substantial time to generate quality distractors and ensure a single unambiguous answer, and composing effective true-false questions demands careful effort to …
ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. ONNX Runtime is the runtime engine used for model inference and training with ONNX. AWS Graviton3 processors are optimized for ML workloads, including support for bfloat16, Scalable Vector Extension (SVE), and Matrix …
Accelerate NLP inference with ONNX Runtime on AWS Graviton processors Read More »
The story behind how we named Gemini, our most capable AI model.
