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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

Favorite Powered by Amazon Lex, the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. Customers now want

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Shared by AWS Machine Learning August 31, 2023

Driving the global conversation about “Open Source AI”

Favorite The Open Source Initiative (OSI) continues the work of exploring complexities surrounding the development and use of artificial intelligence in Deep Dive: AI – Defining Open Source AI, with the goal of collaboratively establishing a clear and defensible definition of “Open Source AI.” OSI is bringing together global experts

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Shared by voicesofopensource August 31, 2023

WeatherBench 2: A benchmark for the next generation of data-driven weather models

Favorite Posted by Stephan Rasp, Research Scientist, and Carla Bromberg, Program Lead, Google Research In 1950, weather forecasting started its digital revolution when researchers used the first programmable, general-purpose computer ENIAC to solve mathematical equations describing how weather evolves. In the more than 70 years since, continuous advancements in computing

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Shared by Google AI Technology August 31, 2023

Automatically generate impressions from findings in radiology reports using generative AI on AWS

Favorite Radiology reports are comprehensive, lengthy documents that describe and interpret the results of a radiological imaging examination. In a typical workflow, the radiologist supervises, reads, and interprets the images, and then concisely summarizes the key findings. The summarization (or impression) is the most important part of the report because

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Shared by AWS Machine Learning August 30, 2023

Modeling and improving text stability in live captions

Favorite Posted by Vikas Bahirwani, Research Scientist, and Susan Xu, Software Engineer, Google Augmented Reality Automatic speech recognition (ASR) technology has made conversations more accessible with live captions in remote conferencing software, mobile applications, and head-worn displays. However, to maintain real-time responsiveness, live caption systems often display interim predictions that

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Shared by Google AI Technology August 30, 2023

7 ways businesses are using Google Cloud AI

Favorite At Google Cloud Next 2023, thousands of people gathered in San Francisco to learn about the newest updates from Google Cloud. View Original Source (blog.google/technology/ai/) Here.

SayTap: Language to quadrupedal locomotion

Favorite Posted by Yujin Tang and Wenhao Yu, Research Scientists, Google Simple and effective interaction between human and quadrupedal robots paves the way towards creating intelligent and capable helper robots, forging a future where technology enhances our lives in ways beyond our imagination. Key to such human-robot interaction systems is

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Shared by Google AI Technology August 29, 2023

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

Favorite Maintaining machine learning (ML) workflows in production is a challenging task because it requires creating continuous integration and continuous delivery (CI/CD) pipelines for ML code and models, model versioning, monitoring for data and concept drift, model retraining, and a manual approval process to ensure new versions of the model

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Shared by AWS Machine Learning August 29, 2023