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Artificial Intelligence

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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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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What does the upcoming era entail for AI that can generate its own content?

During the "Generative AI: Shaping the Future" symposium held as part of MIT's Generative AI Week, experts discussed the opportunities and risks of generative AI, a type of machine learning that creates realistic outputs such as images, text, and code. The keynote speaker, Rodney Brooks, co-founder of iRobot and professor emeritus at MIT, warned against…

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AI enhances the resolution of issues in intricate situations.

Santa Claus delivers presents with the help of magic, but delivering holiday packages isn't quite as simple for companies like FedEx. These businesses often rely on advanced software called mixed-integer linear programming (MILP) solvers to route their deliveries. Yet, while these solvers break down complex problems into smaller, more manageable segments, it can still take…

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Enhance your content editing using Contentful and Amazon Bedrock.

Contentful, in combination with Amazon Bedrock, has launched an app called the AI Content Generator. This app, available in the Contentful Marketplace, utilizes artificial intelligence models from Amazon Bedrock to create, rewrite, summarize, and translate content. The intention behind the AI Content Generator is to help content creators efficiently produce high-quality and consistent material. Contentful is…

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I Experimented with Every AI Chatbot Available to Determine the Most Humorous One

OpenAI's release of ChatGPT in November 30, 2022, sparked various discussions on the positive and negative implications of bots on society. But whether these bots are smart, evil, or funny was a question some sought to answer. One particular exploration aimed to determine if any of these artificial intelligence (AI) chatbots could produce humor. As presented,…

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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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