A Technology Broker and Management Company Specializing in KM Systems
Favorite AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. It plays a crucial
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Shared by AWS Machine Learning November 16, 2023
Favorite In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. One of the hottest areas in AI right now is generative AI, and for good reason. Generative AI offers powerful solutions that push the boundaries of what’s
Read More Shared by AWS Machine Learning November 15, 2023
Favorite Fake news, defined as news that conveys or incorporates false, fabricated, or deliberately misleading information, has been around as early as the emergence of the printing press. The rapid spread of fake news and disinformation online is not only deceiving to the public, but can also have a profound
Read More Shared by AWS Machine Learning November 15, 2023
Favorite Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. Foundation models
Read More Shared by AWS Machine Learning November 15, 2023
Favorite Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners to provide a safe and inclusive environment where they can freely consume content and contribute. Content moderators are often employed to review user-generated content and
Read More Shared by AWS Machine Learning November 15, 2023
Favorite Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all
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Shared by Google AI Technology November 14, 2023
Favorite Today we’re sharing an AI Opportunity Agenda to provide concrete policy recommendations to help AI benefit as many people as possible. View Original Source (blog.google/technology/ai/) Here.
Favorite One of the most common applications of generative AI and large language models (LLMs) is answering questions based on a specific external knowledge corpus. Retrieval-Augmented Generation (RAG) is a popular technique for building question answering systems that use an external knowledge base. To learn more, refer to Build a
Read More Shared by AWS Machine Learning November 14, 2023
Favorite At a basic level, Machine Learning (ML) technology learns from data to make predictions. Businesses use their data with an ML-powered personalization service to elevate their customer experience. This approach allows businesses to use data to derive actionable insights and help grow their revenue and brand loyalty. Amazon Personalize
Read More Shared by AWS Machine Learning November 14, 2023
Favorite Today we’re taking legal action against two groups of scammers. View Original Source (blog.google/technology/ai/) Here.