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This AI Paper Propose AugGPT: A Text Data Augmentation Approach based on ChatGPT
NLP, or Natural Language Processing, is a field of AI focused on human-computer interaction through language. Recent research has explored improving few-shot learning (FSL) methods in NLP to overcome data limitations. A new data augmentation method called “AugGPT” is proposed, which utilizes ChatGPT to generate more samples for text classification tasks. The method involves fine-tuning…
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Meet SecureLoop: An AI-Powered Search Tool to Identify an Optimal Design for a Deep Learning Accelerator that can Boost the Performance of Complex AI Tasks while Requiring Less Energy
SecureLoop is an advanced design space exploration tool developed by researchers at MIT to address the security and performance requirements of deep neural network accelerators. By considering various elements such as computation, memory access, and cryptographic operations, SecureLoop optimizes authentication block assignments using modular arithmetic techniques. Comparative evaluations demonstrate its superior performance, boasting speed enhancements…
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Koe AI Unveils LLVC: A Groundbreaking Real-Time Voice Conversion Model with Unparalleled Efficiency and Speed
LLVC (Low-latency, Low-resource Voice Conversion) is a real-time voice conversion model introduced by Koe AI. It operates efficiently on consumer CPUs, achieving sub-20ms latency at a 16kHz bitrate. LLVC utilizes a generative adversarial structure and knowledge distillation for efficiency and low resource consumption. It sets a benchmark among open-source voice conversion models in terms of…
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Meet Skywork-13B: A Family of Large Language Models (LLMs) Trained on a Corpus of Over 3.2T Tokens Drawn from both English and Chinese Texts
The Skywork-13B family of large language models (LLMs) addresses the need for transparent and commercially available LLMs. Researchers at Kunlun Technology developed Skywork-13B-Base and Skywork-13BChat, providing detailed information about the training process and data composition. They also released intermediate checkpoints and used a two-stage training approach for optimization. Skywork-13B outperforms similar models and achieves low…
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Researchers from Johns Hopkins Medicine Developed a Machine Learning Model for Precise Osteosarcoma Necrosis Calculation
Researchers at Johns Hopkins Medicine have developed a machine learning model that accurately calculates the extent of tumor death in bone cancer patients. The model, trained on annotated pathology images, achieved 85% accuracy, which rose to 99% after removing an outlier. The innovative method reduces the workload for pathologists and has the potential to revolutionize…
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New report reveals how generative AI is being harnessed by terrorists
A new report by Tech Against Terrorism highlights that violent extremists are increasingly using generative AI tools to create content, including images linked to groups like Hezbollah and Hamas. This strategic use of AI aims to influence narratives, particularly relating to sensitive topics like the Israel-Hamas war. The report also raises concerns about the implications…
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The OECD has modified its definition of AI which will extend to the EU AI Act
The OECD has updated its definition of AI, which is expected to be included in the European Union’s AI Act. The new definition recognizes AI systems that can have emergent goals beyond their original objectives and expands the range of outputs AI can produce. It also considers the changes AI systems can undergo after deployment.…
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Cookie Permissions 101
Summary: The article highlights the importance of cookie permissions following data protection laws while striking a balance between user privacy and user-friendliness. With increased regulation, companies need to provide clear and simple choices for users to control data privacy without confusion or frustration. Cookies store data about user preferences and interactions and are used for…
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The 6 Types of Conversations with Generative AI
Summary: The article discusses the different types of conversations that users have with generative-AI bots, and how UI designs should accommodate these variations. The study involved analyzing 425 interactions with bots like ChatGPT, Bing Chat, and Bard, and found that varying conversation lengths can serve different user goals. The findings are reported in multiple articles.
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Use machine learning without writing a single line of code with Amazon SageMaker Canvas
Amazon SageMaker Canvas is a no-code environment that allows users to easily utilize machine learning (ML) models for various data types. It integrates with Amazon Comprehend for natural language processing tasks like sentiment analysis and entity recognition. It also integrates with Amazon Rekognition for image analysis, and Amazon Textract for document analysis. The ready-to-use solutions…