Try 4 new Arts and AI experiments
Favorite Four new online interactive artworks from Google Arts & Culture Lab artists in residence View Original Source (blog.google/technology/ai/) Here.
Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart
Favorite Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart. Text generation using RAG with LLMs enables you to generate domain-specific text outputs by supplying specific external data as part
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Shared by AWS Machine Learning May 2, 2023
Bring your own ML model into Amazon SageMaker Canvas and generate accurate predictions
Favorite Machine learning (ML) helps organizations generate revenue, reduce costs, mitigate risk, drive efficiencies, and improve quality by optimizing core business functions across multiple business units such as marketing, manufacturing, operations, sales, finance, and customer service. With AWS ML, organizations can accelerate the value creation from months to days. Amazon
Read More Shared by AWS Machine Learning May 2, 2023
Hosting ML Models on Amazon SageMaker using Triton: XGBoost, LightGBM, and Treelite Models
Favorite One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to see how Amazon SageMaker can
Read More Shared by AWS Machine Learning May 2, 2023
Prepare image data with Amazon SageMaker Data Wrangler
Favorite The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data. According to Gartner, unstructured data now represents 80–90% of all new enterprise data, but just 18% of organizations are taking advantage of this data. This is mainly due to a lack
Read More Shared by AWS Machine Learning May 1, 2023
Google at ICLR 2023
Favorite Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute
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Shared by Google AI Technology May 1, 2023
How to extend the functionality of AWS Trainium with custom operators
Favorite Deep learning (DL) is a fast-evolving field, and practitioners are constantly innovating DL models and inventing ways to speed them up. Custom operators are one of the mechanisms developers use to push the boundaries of DL innovation by extending the functionality of existing machine learning (ML) frameworks such as
Read More Shared by AWS Machine Learning April 27, 2023
Improve multi-hop reasoning in LLMs by learning from rich human feedback
Favorite Recent large language models (LLMs) have enabled tremendous progress in natural language understanding. However, they are prone to generating confident but nonsensical explanations, which poses a significant obstacle to establishing trust with users. In this post, we show how to incorporate human feedback on the incorrect reasoning chains for
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An ML-based approach to better characterize lung diseases
Favorite Posted by Babak Behsaz, Software Engineer, and Andrew Carroll, Product Lead, Genomics The combination of the environment an individual experiences and their genetic predispositions determines the majority of their risk for various diseases. Large national efforts, such as the UK Biobank, have created large, public resources to better understand
Read More Shared by Google AI Technology April 27, 2023
Deliver your first ML use case in 8–12 weeks
Favorite Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? You’re not alone. Most executives think ML can apply to any business decision, but on average only half of the ML projects make it to production. This post describes how to implement your
Read More Shared by AWS Machine Learning April 26, 2023