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Editors Pick

Comparing Microsoft Bing AI and Google Bard AI: A Comparative Analysis of Generative AI in Search Engines

Generative AI technologies have transformed the landscape of search engines, with Microsoft Bing AI and Google Bard AI leading the charge. They use advanced AI models to revolutionise the way we search and interact with online information. Microsoft Bing AI is an AI-enabled assistant designed to improve our interaction with digital information. It integrates with…

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Introducing the OCR Toolkit: A Flexible Python Package Ideal for Effortlessly Incorporating and Experimenting with Different OCR and Object Detection Platforms

Optical Character Recognition (OCR) is a technology that transforms images of text into editable and searchable data. In the modern digital era, OCR becomes a prevalent tool, but it often presents challenges for users due to its complex coding. Developers and researchers often find it difficult making it work smoothly for them. To address these challenges,…

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Introducing Ubicloud: A Free Open Source Option as an Alternative to AWS

In recent years, heavyweights in the cloud service industry such as AWS (Amazon Web Services), Microsoft Azure, and Google Cloud have emerged as undeniable forces in the realm of Artificial Intelligence (AI). Despite their strong and scalable infrastructure playing a crucial role in AI's expansion, these giants' immense control can often lead to a loss…

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The RAFT Method: Instructing AI in Language to Evolve into Field Specialists

Language models such as GPT-3 have demonstrated impressive general knowledge and understanding. However, they have limitations when required to handle specialized, niche topics. Therefore, a deeper domain knowledge is necessary for effectively researching specific subject matter. This can be equated to asking a straight-A high school student about quantum physics. They might be smart, but…

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Taipy: A Method for Overcoming Significant Obstacles in Your AI/Data Projects

Over several years, successful AI software projects have hinged on algorithms based on Mathematical Programming, Simulation, Heuristics, ML, and generative AI. These projects have returned significant profits for several major organizations. However, many businesses outside the software industry still face challenges in implementing successful AI strategies. In many cases, CDOs may only produce "standard" data…

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RAGTune: A Tool for Automated Adjustment and Enhancement of the RAG (Retrieval-Augmented Generation) Process

In the field of Natural Language Processing (NLP), optimizing the Retrieval-Augmented Generation (RAG) pipeline often presents a significant challenge. Developers strive to strike the right balance among various components such as large language models (LLMs), embeddings, query transformations, and re-rankers in order to achieve optimal performance. With a lack of effective guidance and user-friendly tools,…

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Exploring the Terrain: The Influence and Administration of Open Foundation Structures in AI

Open foundation models like BERT, CLIP, and Stable Diffusion signify a new era in the technology space, particularly in artificial intelligence (AI). They provide free access to model weights, enhancing customization, and accessibility. While this development brings benefits to innovation and research, it also introduces fresh risks and potential misuse, which has initiated a critical…

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DiPaCo: A Component-Based Framework and Learning Method for Machine Learning Models – An Innovative Structure for Model Distribution

Machine Learning (ML) and Artificial Intelligence (AI) are fields that have made significant progress due to the use of larger neural network models and training these models on massive data sets. This progression has occurred through data and model parallelism techniques and pipelining methods, which distribute computational tasks across multiple devices at the same time. Despite…

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Data Interpreter: An Agent Built on LLM Specifically for the Purpose of Data Science Field

Researchers from several esteemed institutions, including DeepWisdom, have launched a groundbreaking tool for data science problem-solving called the Data Interpreter. This solution leverages Large Language Models (LLMs) to address intricate challenges in the field of data science, marking a novel approach to navigating the vast and ever-changing data world. The Data Interpreter was conceived through…

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GitHub reveals an AI-driven tool designed to auto-correct vulnerabilities in code.

GitHub, a popular platform that provides hosting for software development and version control using Git, recently launched its code scanning autofix feature, a significant development in the world of digital security. Available to all GitHub Advanced Security customers, the new feature merges GitHub's Copilot real -time support with the analytical abilities of its semantic code…

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Scientists at Northeastern University suggest NeuFlow: An extremely effective Optical Flow Structure that tackles both precision and computational cost issues.

Optical flow estimation aims to analyze dynamic scenes in real-time with high accuracy, a critical aspect of computer vision technology. Previous methods of attaining this have often stumbled upon the problem of computational versus accuracy. Though deep learning has improved the accuracy, it has come at the cost of computational efficiency. This issue is particularly…

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