Favorite Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond
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Shared by AWS Machine Learning June 25, 2024
Favorite Explaining the concept of Data information Following @stefano’s publication regarding why the OSI considers training data to be “optional” under the checklist in Open Source AI Definition, the debate has continued. Here are the main points: Preferred Form of Modification @hartmans states finding an agreement on the meaning of
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Shared by voicesofopensource June 24, 2024
Favorite This post is co-written with Jhanvi Shriram and Ketaki Shriram from Krikey. Krikey AI is revolutionizing the world of 3D animation with their innovative platform that allows anyone to generate high-quality 3D animations using just text or video inputs, without needing any prior animation experience. At the core of
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Shared by AWS Machine Learning June 24, 2024
Favorite Learn more about how (and why) we created our Google AI Essentials course. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). A private hub is a feature in SageMaker JumpStart that allows an organization to share their models and notebooks so as to centralize model artifacts,
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Shared by AWS Machine Learning June 22, 2024
Favorite eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. These security services help their customers anticipate, withstand, and recover from sophisticated cyber threats, prevent disruption from malicious attacks, and improve their
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Shared by AWS Machine Learning June 21, 2024
Favorite AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. This becomes increasingly important with artificial intelligence (AI) development because of the data assets that need to be protected. Transmitting data across the internet is not secure enough for highly sensitive data. Therefore,
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Shared by AWS Machine Learning June 20, 2024
Favorite Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. RAG achieves this
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Shared by AWS Machine Learning June 20, 2024
Favorite Customer service organizations today face an immense opportunity. As customer expectations grow, brands have a chance to creatively apply new innovations to transform the customer experience. Although meeting rising customer demands poses challenges, the latest breakthroughs in conversational artificial intelligence (AI) empowers companies to meet these expectations. Customers today
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Shared by AWS Machine Learning June 20, 2024
Favorite This is a guest post co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Millions
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Shared by AWS Machine Learning June 20, 2024