Learn more about Gemini, our most capable AI model
Favorite Explore our collection to find out more about Gemini, the most capable and general model we’ve ever built. View Original Source (blog.google/technology/ai/) Here.
Introducing Gemini: our largest and most capable AI model
Favorite Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano. View Original Source (blog.google/technology/ai/) Here.
Bard gets its biggest upgrade yet with Gemini
Favorite We’re starting to bring Gemini’s advanced capabilities into Bard. View Original Source (blog.google/technology/ai/) Here.
Pixel 8 Pro — the first smartphone with AI built in — is now running Gemini Nano, plus more AI updates coming to the Pixel portfolio
Favorite New Feature Drop brings updates to your Pixel hardware. Plus, Gemini Nano now powers on-device generative AI features for Pixel 8 Pro. View Original Source (blog.google/technology/ai/) Here.
Foundational data protection for enterprise LLM acceleration with Protopia AI
Favorite This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption
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Shared by AWS Machine Learning December 6, 2023
Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra
Favorite Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed by various organizations. For instance,
Read More Shared by AWS Machine Learning December 6, 2023
Enable faster training with Amazon SageMaker data parallel library
Favorite Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters. Training these LLMs requires significant
Read More Shared by AWS Machine Learning December 6, 2023
Google at EMNLP 2023
Favorite Posted by Malaya Jules, Program Manager, Google Google is proud to be a Diamond Sponsor of Empirical Methods in Natural Language Processing (EMNLP 2023), a premier annual conference, which is being held this week in Sentosa, Singapore. Google has a strong presence at this year’s conference with over 65
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Shared by Google AI Technology December 5, 2023
How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch
Favorite This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in 2015, Getir has positioned itself as the trailblazer in the sphere of ultrafast grocery delivery. This innovative tech company has revolutionized the last-mile delivery segment with its compelling offering
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A new quantum algorithm for classical mechanics with an exponential speedup
Favorite Posted by Robin Kothari and Rolando Somma, Research Scientists, Google Research, Quantum AI Team Quantum computers promise to solve some problems exponentially faster than classical computers, but there are only a handful of examples with such a dramatic speedup, such as Shor’s factoring algorithm and quantum simulation. Of those
Read More Shared by Google AI Technology December 4, 2023