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What is the Quantity of Scholarly Articles Produced Using ChatGPT? This AI Study Explores the Application of ChatGPT in Scholarly Writing by Overabundance of Vocabulary.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 26, 202464Views0Likes0Comments
The use of large language models (LLMs), such as ChatGPT, has significantly increased in academic writing, resulting in observable shifts in writing style and vocabulary, particularly in biomedical research. Concerns have risen around the authenticity and originality of scientific content and its implications for research integrity and the evaluation of academic contributions. Traditional methods for detecting…

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Introducing LongRAG: An innovative AI structure that merges RAG and extended-context LLMs to boost efficiency.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 26, 202477Views0Likes0Comments
Retrieval-Augmented Generation (RAG) methods improve the ability of large language models (LLMs) by incorporating external knowledge gleaned from vast data sets. These methods are particularly useful for open-domain question answering where detailed and accurate answers are needed. RAG systems can utilize external information to complement the inherent knowledge built into LLMs, making them more effective…

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Innovating Adapter Methods: Qualcomm AI’s Sparse High Rank Adapters (SHiRA) for Quick and Efficient Implementation in Extensive Language Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Tech News, Technology, UncategorizedJune 25, 202467Views0Likes0Comments
Large language models (LLMs) and latent variable models (LVMs) can present significant challenges during deployment, such as balancing low inference overhead and the rapid change of adapters. Traditional methods, such as Low Rank Adaptation (LoRA), often result in increased latency or loss of rapid switching capabilities. This can prove particularly problematic in resource-constrained settings like…

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Researchers from Alibaba have presented AUTOIF, an innovative, scalable, and reliable artificial intelligence methodology. This technique automatically generates trustworthy and authentic training data following instructions.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 25, 202470Views0Likes0Comments
Large Language Models (LLMs) are an essential development in the field of Natural Language Processing (NLP), capable of understanding, interpreting, and generating human language. Despite their abilities, improving these models to follow detailed instructions accurately remains a challenge, which is crucial as precision is instrumental in applications ranging from customer service bots to complex AI…

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Whiteboard-of-Thought (WoT) Prompting: An Elementary AI Method to Improve Visual Reasoning Skills of Multi-Modal Language Models Across Different Modalities

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Tech News, Technology, UncategorizedJune 25, 202464Views0Likes0Comments
Large language models (LLMs) are crucial in the field of natural language processing (NLP). However, their performance in tasks requiring visual and spatial reasoning is generally poor. Researchers from Columbia University have proposed a new approach to tackle this issue. Their method, called Whiteboard-of-Thought (WoT) prompting, aims to enhance the visual reasoning abilities of multimodal…

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Delphi-2M: An Adapted GPT Structure for Predicting Future Health Conditions Using Historical Medical Data

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 24, 202464Views0Likes0Comments
Artificial Intelligence has significant potential to revolutionize healthcare by predicting disease progression using extensive health records, enabling personalized care. Multi-morbidity, the presence of multiple acute and chronic conditions in a patient, is an important factor in personalized healthcare. Traditional prediction algorithms often focus on specific diseases, but there is a need for comprehensive models that…

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Delphi-2M: An Altered GPT Structure for Predicting Future Health Using Previous Medical Records

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 24, 2024100Views0Likes0Comments
Artificial Intelligence (AI) models have huge potential to predict disease progression through analysis of health records, facilitating a more personalised healthcare service. This predictive capability is crucial in enabling more proactive health management of patients with chronic or acute illnesses related to lifestyle, genetics and socio-economic factors. Despite the existence of various predictive algorithms for…

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Investigating the Potentials and Obstacles of Inductive Reasoning Out of Context in Extensive Language Models: Impact on the Safety of Artificial Intelligence.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 24, 202461Views0Likes0Comments
Large Language Models (LLMs), significant advancements in the field of artificial intelligence (AI), have been identified as potential carriers of harmful information due to their extensive and varied training data. This information can include instructions on creating biological pathogens, which pose a threat if not adequately managed. Despite efforts to eliminate such details, LLMs can…

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MIPRO: An Innovative Optimizer Surpassing Benchmark Performances on Five out of Six Varied Language Model LM Applications Leveraging a Top-Tier Open-Source Model (Llama-3-8B) with a 12.9% Accuracy Increase

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 24, 202467Views0Likes0Comments
Language models (LMs) are a vital component of complex natural language processing (NLP) tasks. However, optimizing these models can be a tedious and manual process, hence the need for automation. Various methods to optimize these programs exist, but they often fall short, especially when handling multi-stage LMs that have diverse architectures. A group of researchers…

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Cephalo: A Collection of Open-Source Extensive Language Models for Multimodal Vision (V-LLMs), Specifically Designed with the Perspective of Bio-Inspired Design.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 24, 202474Views0Likes0Comments
Materials science is a field of study that focuses on understanding the properties and performance of various materials, with an emphasis on innovation and the creation of new material for a range of applications. Particular challenges in this field involve integrating large amounts of visual and textual data from scientific literature to enhance material analysis…

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Cephalo: An Array of Open-Source, Multimodal Vision, Extensive Linguistic Models (V-LLMs) Particularly for Bio-Inspired Design Applications

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 24, 202476Views0Likes0Comments
Materials science focuses on the study of materials to develop new technologies and improve existing ones. Most researchers in this realm use scientific principles such as physics, chemistry, and understanding of engineering. One major challenge in materials science is collating visual and textual data for analysis to improve material inventions. Traditional methods rarely combine both…

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