A Technology Broker and Management Company Specializing in KM Systems
Favorite This is a joint post co-written by AWS and Voxel51. Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. A retail company is building a mobile app to help customers buy clothes. To create this app, they need a high-quality dataset
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Shared by AWS Machine Learning May 5, 2023
Favorite In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an
Read More Shared by AWS Machine Learning May 5, 2023
Favorite You can find a link to the Webinar announcement here and a button to register for a place. Date: 10 May 2023 Timing: 12.00 – 13.00 (BST) This webinar will focus on the recently published BS 34401:2022 Knowledge management. Application of BS ISO 30401. Guide and Executive Briefing and explain how your business
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Shared by Nick Milton May 5, 2023
Favorite Generative AI is gaining a lot of public attention at present, with talk around products such as GPT4, ChatGPT, DALL-E2, Bard, and many other AI technologies. Many customers have been asking for more information on AWS’s generative AI solutions. The aim of this post is to address those needs.
Read More Shared by AWS Machine Learning May 4, 2023
Favorite Time series forecasting refers to the process of predicting future values of time series data (data that is collected at regular intervals over time). Simple methods for time series forecasting use historical values of the same variable whose future values need to be predicted, whereas more complex, machine learning
Read More Shared by AWS Machine Learning May 4, 2023
Favorite The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex. However, their increasing
Read More Shared by AWS Machine Learning May 4, 2023
Favorite Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of a single pre-training followed by subsequent adaptation to multiple downstream tasks. Two main and disjoint training scenarios are popular: a CLIP-style contrastive learning and next-token prediction. Contrastive learning trains
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Shared by Google AI Technology May 4, 2023
Favorite (This post is taken from a speech given remotely at LLW 2023 by OSI Executive director Stefano Maffulli) The conference program places two talks back to back titled “The goals of Open Source AI” followed by “The goals of a Free Software AI”… But to me, the distinction between
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Shared by voicesofopensource May 4, 2023
Favorite This post is co-written by Jyoti Sharma and Sharmo Sarkar from Vericast. For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be
Read More Shared by AWS Machine Learning May 3, 2023
Favorite New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high speed of development, and low operating cost, these general-purpose processors offer an alternative to other existing hardware solutions. AWS, Arm, Meta and others helped optimize
Read More Shared by AWS Machine Learning May 3, 2023