Favorite Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single endpoint. Previously, MMEs pre-determinedly allocated CPU computing power to models statically regardless the model traffic load, using Multi Model Server (MMS) as its model server.
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Shared by AWS Machine Learning February 19, 2024
Favorite Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from
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Shared by AWS Machine Learning February 16, 2024
Favorite Gemini 1.5 Pro brings big improvements to speed and efficiency, but one of its innovations is its long context window, which measures how many tokens that the model can … View Original Source (blog.google/technology/ai/) Here.
Favorite For 60 years, the Munich Security Conference has brought together world leaders, businesses, experts and civil society for frank discussions about strengthening and safe… View Original Source (blog.google/technology/ai/) Here.
Favorite We’re launching the AI Cyber Defense Initiative to help transform cybersecurity and use AI to reverse the dynamic known as the “Defender’s Dilemma” View Original Source (blog.google/technology/ai/) Here.
Favorite With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. Industrial companies increasingly look at data analytics and data-driven decision-making to increase resource efficiency across their
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Shared by AWS Machine Learning February 15, 2024
Favorite Gemini 1.5 delivers dramatically enhanced performance, with a breakthrough in long-context understanding across modalities. View Original Source (blog.google/technology/ai/) Here.
Favorite With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and generate contextually relevant and human-like
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Shared by AWS Machine Learning February 14, 2024
Favorite Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles) within images or videos. Pose estimation has real-world applications in sports, robotics, security, augmented reality, media and entertainment, medical applications, and more. Pose estimation models are trained on images
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Shared by AWS Machine Learning February 14, 2024
Favorite Effective self-service options are becoming increasingly critical for contact centers, but implementing them well presents unique challenges. Amazon Lex provides your Amazon Connect contact center with chatbot functionalities such as automatic speech recognition (ASR) and natural language understanding (NLU) capabilities through voice and text channels. The bot takes natural
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Shared by AWS Machine Learning February 14, 2024
Shared by AWS Machine Learning February 19, 2024
