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Favorite AI is the most profound technology that humanity is working on today. It’s a critical part of solving big societal challenges and helping to make our everyday lives bett… View Original Source (blog.google/technology/ai/) Here.
Favorite Part of the value of communities of practice is proividing access to the Long Tail of experience There is a tendency in many companies to see Knowledge as being the province of the Experts. As a result, they set up expert centres to look after the knowledge, and expert
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Shared by Nick Milton July 4, 2023
Favorite In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling. It’s one of the prerequisite tasks to prepare training data to train a deep learning model. Hundreds of thousands of work hours are spent generating high-quality labels from
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Shared by AWS Machine Learning July 4, 2023
Favorite Companies across various industries create, scan, and store large volumes of PDF documents. In many cases, the content is text-heavy and often written in a different language and requires translation. To address this, you need an automated solution to extract the contents within these PDFs and translate them quickly
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Favorite 28 institutions from around the world join forces to showcase Leonardo da Vinci’s unparalleled legacy, blending art, science, and AI innovation View Original Source (blog.google/technology/ai/) Here.
Favorite Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection is used to assess the
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Favorite Fine-tuning large language models (LLMs) allows you to adjust open-source foundational models to achieve improved performance on your domain-specific tasks. In this post, we discuss the advantages of using Amazon SageMaker notebooks to fine-tune state-of-the-art open-source models. We utilize Hugging Face’s parameter-efficient fine-tuning (PEFT) library and quantization techniques through
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Favorite Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on
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Favorite Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use
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Shared by Google AI Technology June 29, 2023
Favorite Posted by Yang Zhao and Tingbo Hou, Software Engineers, Core ML In recent years, diffusion models have shown great success in text-to-image generation, achieving high image quality, improved inference performance, and expanding our creative inspiration. Nevertheless, it is still challenging to efficiently control the generation, especially with conditions that
Read More Shared by Google AI Technology June 29, 2023