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Google AI launches AGREE, a machine learning platform that endows large language models with the ability to autonomously evaluate their responses and offer detailed references.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 30, 202467Views0Likes0Comments
The accuracy of Large Language Models (LLMs) such as Google's GPT (Generative Pre-trained Transformer) is vital, particularly when it comes to producing content that needs to be factually correct, such as educational content or news reports. However, despite their abilities, LLMs often generate plausible but incorrect information, a phenomenon known as "hallucination." Google AI researchers have…

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Improving Answer Selection in Community Question Answering using Question-Answer Cross Attention Networks (QAN)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 30, 202464Views0Likes0Comments
Community Question Answering (CQA) platforms like Quora, Yahoo! Answers, and StackOverflow are popular online forums for information exchange. However, due to the variable quality of responses, users often struggle to sift through myriad answers to find pertinent information. Traditional methods of answer selection in these platforms include content/user modeling and adaptive support. Still, there's room…

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The Enhancement of Patient Results in Healthcare Through the Use of Artificial Intelligence Technology

Education, Technology, UncategorizedMay 29, 202460Views0Likes0Comments
Artificial intelligence (AI) is expected to become a standard piece of the healthcare puzzle, despite the common misconceptions of what it actually entails. It's not intended to automate call centers or replace physicians, but rather to assist them, augmenting their capabilities and helping to bring a health system’s full potential into reality. Healthcare systems face a…

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Healthcare Deep Learning: Obstacles, Uses, and Prospective Pathways

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 29, 202462Views0Likes0Comments
Biomedical data is increasingly complex, spanning various sources such as electronic health records (EHRs), imaging, omics data, sensors, and text. Traditional data mining and statistical methods struggle to extract meaningful insights from this high-dimensional, heterogeneous data. Recent advancements in deep learning offer a transformative solution, enabling models that can directly process raw biomedical data. Such…

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The Emergence of Retrieval-Augmented Generation (RAG) in AI: The Ascend in Artificial Intelligence

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, RAG, Staff, Tech News, Technology, UncategorizedMay 29, 202464Views0Likes0Comments
Artificial Intelligence (AI) and data science are fast-growing fields, with the development of Agentic Retrieval-Augmented Generation (RAG), a promising evolution that seeks to improve how information is utilized and managed compared to current RAG systems. Retrieval-augmented generation (RAG) refines large language model (LLM) applications through the use of bespoke data. By consulting external authoritative knowledge bases…

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Understanding Feature Representation: Examining Inductive Biases in Deep Learning

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Deep Learning, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 29, 202473Views0Likes0Comments
Research conducted by DeepMind has shed new light on the complexities of machine learning and neural representation, providing insights into the dissociations between representation and computation in deep networks. High capacity deep networks frequently demonstrate an implicit bias towards simplicity amidst their learning dynamics and structure. The employed simple functions allow for easier learning of…

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The Research Group of InternLM has launched InternLM2-Math-Plus which is an array of Math-Centric LLMs available in various sizes like 1.8B, 7B, 20B, and 8x22B. They offer improved thought chaining, code understanding, and reasoning capabilities based on LEAN 4.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 29, 202468Views0Likes0Comments
The InternLM research team is dedicated to improving and developing large language models (LLMs) specifically tailored for mathematical reasoning and problem-solving. They aim to strengthen artificial intelligence's performance ability when dealing with mathematically complex tasks, such as formal proofs and informal problem-solving. Researchers from several esteemed institutions have worked together on producing the InternLM2-Math-Plus model…

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The Transformation in AI-Based Image Creation: DALL-E, CLIP, VQ-VAE-2, and ImageGPT

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 29, 202475Views0Likes0Comments
Artificial Intelligence (AI) has witnessed significant breakthroughs in image generation in recent years with four models, DALL-E, CLIP, VQ-VAE-2, and ImageGPT, emerging as game-changers in this space. DALL-E, a variant of the GPT-3 model, is designed to generate images from textual descriptions. Taking its name from surrealist Salvador Dalí and Pixar’s WALL-E, DALL-E boasts creative skills…

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Pandora: A Combined Autoregressive-Diffusion Model that Creates Global State Simulations through Video Production and Offers Immediate Control through Unstructured Text Actions

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 29, 202465Views0Likes0Comments
An AI's understanding and reproduction of the natural world are based on its 'world model' (WM), a simplified representation of the environment. This model includes objects, scenarios, agents, physical laws, temporal and spatial information, and dynamic interactions, allowing the AI to anticipate reactions to certain actions. The versatility of a world model lends itself extremely…

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