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IBM’s Alignment Studio aims to maximize AI compliance for rules related to context.

Researchers from IBM Research have developed a new architecture, dubbed Alignment Studio, which enables developers to mould large language models (LLMs) to fit specific societal norms, laws, values and regulations. The system is designed to mitigate ongoing challenges in the artificial intelligence (AI) sector surrounding issues such as hate speech and inappropriate language. While efforts…

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Efficiency in Large Language Models is being Redefined through Task-Indifferent Methods: A Collaboration between Tsinghua University & Microsoft on LLMLingua-2 Combines Data Refinement with Prompt Condensation

Researchers from Tsinghua University and Microsoft Corporation have unveiled a groundbreaking study known as LLMLingua-2, as part of a collaborative effort that reinforces the cruciality of interdisciplinary research. The study primarily focuses on improving the efficiency of language models, which play a pivotal role in ensuring fluent communication between humans and machines. The core challenge…

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HyperGAI Launches HPT: A Revolutionary Series of Top-tier Multimodal LLMs

Researchers from HyperGAI have developed a ground-breaking new multimodal language learning model (LLMs) known as Hyper Pretrained Transformers (HPT) that can proficiently handle and process seamlessly, a wide array of input modalities, such as text, images, and videos. Existing LLMs, like GPT-4V and Gemini Pro, have limitations in comprehending multimodal data, which hinders progress towards…

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RankPrompt: Innovating AI Reasoning through Independent Assessment Leading to Enhancements in Big Language Model Precision and Effectiveness

The field of artificial intelligence (AI) has significantly advanced with the development of Large Language Models (LLMs) such as GPT-3 and GPT-4. Developed by research institutions and tech giants, LLMs have shown great promise by excelling in various reasoning tasks, from solving complex math problems to understanding natural language nuances. However, despite their notable accomplishments,…

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Researchers at Google DeepMind have unveiled TacticAI, an innovative deep learning system that is transforming the strategic approach to football.

Football has forever been an arena for tactical and strategic gameplay, but artificial intelligence (AI) is revolutionizing the field, offering insights beyond human intuition. DeepMind Researchers have introduced TacticAI, an AI assistant developed using the principles of geometric deep learning to analyze and optimize football's set-pieces like corner kicks. TacticAI learns by analyzing multiple examples of…

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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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