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Establish a connection between Amazon Q Business and Microsoft SharePoint Online using minimal privilege access controls.

Advanced (300), Amazon Q, Technical How-to, UncategorizedJuly 30, 202435Views0Likes0Comments
Amazon's Q Business application links with Microsoft's SharePoint Online, leveraging generative artificial intelligence to provide employees with company data and insights. This process involves the use of Amazon Q Business Connectors. In this post, least privilege access controls and best practices suggested by the Microsoft SharePoint Dev Support Team are utilized. The Sites.Selected application permission scope…

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Shift your use of Amazon Forecast towards Amazon SageMaker Canvas.

Amazon Forecast, Amazon SageMaker Canvas, Technical How-to, UncategorizedJuly 30, 202436Views0Likes0Comments
Amazon Forecast, launched in 2019, is a service that offers artificial intelligence (AI)-based forecasting via statistical and machine learning (ML) algorithms. However, many users have shifted their interests to Amazon SageMaker Canvas for benefits such as faster model building, lower costs, enhanced features and overall improved transparency. SageMaker Canvas was launched as a response to the…

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What makes GPT-4o Mini more effective than Claude 3.5 Sonnet in LMSys?

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 29, 202433Views0Likes0Comments
The recent release of scores by the LMSys Chatbot Arena has ignited discussions among AI researchers. According to the results, GPT-4o Mini outstrips Claude 3.5 Sonnet, frequently hailed as the smartest Large Language Model (LLM) currently available. To understand the exceptional performance of GPT-4o Mini, a random selection of one thousand real user prompts were evaluated.…

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Progress and Obstacles in Forecasting TCR Specificity: From Grouping to Protein Linguistic Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 29, 202428Views0Likes0Comments
Researchers from IBM Research Europe, the Institute of Computational Life Sciences at Zürich University of Applied Sciences, and Yale School of Medicine have evaluated the progress of computational models which predict TCR (T cell receptor) binding specificity, identifying potential for improvement in immunotherapy development. TCR binding specificity is key to the adaptive immune system. T cells…

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Research Scientists at Google’s Deepmind Unveil Jumprelu Sparse Autoencoders: Attaining Top-Class Restoration Accuracy

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 29, 202429Views0Likes0Comments
Sparse Autoencoders (SAEs) are a type of neural network that efficiently learns data representations by enforcing sparsity, capturing only the most essential data characteristics. This process reduces dimensionality and improves generalization to unseen information. Language model (LM) activations can be approximated using SAEs. They do this by sparsely decomposing the activations into linear components using…

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Introducing Mem0: A Personalized AI system offering a Memory Layer that intelligently and adaptively enhances the memory aspect of Large Language Models (LLMs).

AI Shorts, AI Tool, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 29, 202433Views0Likes0Comments
In our fast-paced digital era, personalized experiences are integral to all customer-based interactions, from customer support and healthcare diagnostics to content recommendations. Consumers necessitate technology to be tailored towards their specific needs and preferences. However, creating a personalized experience that can adapt and remember past interactions tends to be an uphill task for traditional AI…

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For improving an AI assistant, begin by simulating the unpredictable actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 29, 202431Views0Likes0Comments
Researchers at MIT and the University of Washington have developed a model to estimate the computational limitations or "inference budget" of an individual or AI agent, with the ultimate objective of enhancing the collaboration between humans and AI. The project, spearheaded by graduate student Athul Paul Jacob, proposes that this model can greatly improve the…

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This minuscule microchip can protect the information of its users while facilitating effective processing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedJuly 29, 202433Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have designed a machine-learning accelerator that is impervious to the two most common types of cyberattacks. Currently, healthcare apps that monitor chronic diseases or fitness goals are relying on machine learning to operate. However, the voluminous machine-learning models utilized need to be transferred between a smartphone…

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