Google Cloud12 days of no-cost training to learn generative AI this December
Join us for 12 days of no-cost generative AI training to build your skills and knowledge this December.
Google AIUnsupervised speech-to-speech translation from monolingual data
Translatotron 3 is a novel unsupervised speech-to-speech translation architecture that allows the translation of speech attributes using monolingual data alone.
AWS MLAmazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker
Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker
AWS MLExperience the new and improved Amazon SageMaker Studio
Experience the new and improved Amazon SageMaker Studio - a powerful IDE for end-to-end machine learning workflows with improved performance, integrated tools, and customizable environment.
ElevenLabsNever Too Small - ElevenLabs Fuels Global Reach of Sustainable Living
Never Too Small leverages AI dubbing for multilingual growth and engagement in sustainable living
DatabricksDatabricks Insurance: Live in the Guidewire Marketplace
Databricks Insurance is now live in the Guidewire Marketplace, providing insurance companies with enhanced data capabilities.
Cohere AIHow to Avoid the Pitfalls of Generative AI Projects
Avoid common pitfalls and maximize success in generative AI projects by understanding key differences and implementing strategic guidelines.
Apple MLTiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models - Benchmarking and reducing performance loss on rapidly changing data
AWS MLWelcome to a New Era of Building in the Cloud with Generative AI on AWS
Welcome to a new era of building in the cloud with generative AI on AWS, with advanced infrastructure, model choice, and scalable capabilities.
AWS MLPackage and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements
Package and deploy classical ML and LLMs easily with Amazon SageMaker using the new PySDK Improvements.
AWS MLPackage and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio
Learn how to package and deploy classical ML and LLMs easily with Amazon SageMaker's interactive user experiences in SageMaker Studio.
AWS MLMinimize real-time inference latency by using Amazon SageMaker routing strategies
Minimize real-time inference latency using Amazon SageMaker routing strategies.