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Information extraction with LLMs using Amazon SageMaker JumpStart Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. Tasks such as routing support tickets, recognizing customers intents from a […]
https://aws.amazon.com/blogs/m....achine-learning/info


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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline This post is co-written with Tim Camara, Senior Product Manager at Veritone. Veritone is an artificial intelligence (AI) company based in Irvine, California. Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. It offers solutions for media transcription, facial recognition, content summarization, object […]
https://aws.amazon.com/blogs/m....achine-learning/how-

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Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face This post presents a solution to automatically generate a meeting summary from a recorded virtual meeting (for example, using Amazon Chime) with several participants. The recording is transcribed to text using Amazon Transcribe and then processed using Amazon SageMaker Hugging Face containers to generate the meeting summary. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub.
https://aws.amazon.com/blogs/m....achine-learning/boos

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Caterbot? Robatapillar? It crawls with ease through loops and bends Engineers created a catapillar-shaped robot that splits into segments and reassembles, hauls cargo, and crawls through twisting courses.
https://www.sciencedaily.com/r....eleases/2024/05/2405


Discover the world at Altruu, The Discovery Engine