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The Skywork team announces the unveiling of Skywork-MoE, a highly efficient Mixture-of-Experts (MoE) model, which boasts 146 billion parameters, 16 experts, and 22 billion activated parameters.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 6, 202466Views0Likes0Comments
The advancement of natural language processing (NLP) capabilities has been to a large extent, dependent on developing large language models (LLMs). Although these models deliver high performance, they also pose challenges due to their need for immense computational resources and related costs, making them hard to scale up without incurring substantial expenses. These challenges, therefore, create…

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Snowflake Unveils Polaris Catalog: Enhancing Data Interoperability through the Integration of Open Source Apache Iceberg

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 5, 202468Views0Likes0Comments
Snowflake recently introduced the Polaris Catalog, a new open-source catalog for Apache Iceberg designed to boost data interoperability across multiple engines and cloud services. The release illustrates Snowflake's commitment to granting businesses more control, flexibility, and security in their data management. The data sector has grown increasingly fond of open-source file and table formats due to…

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Google DeepMind Presents Zipper: A Multi-Tower Decoder Structure for Merging Modes

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 5, 202478Views0Likes0Comments
Integrating multiple generative foundation models provides an efficient way of generating outputs across various modalities, such as text, speech, and images, by leveraging each model's specific capabilities. However, the success of this integration highly depends on the alignment of data across modalities and the utilization of unimodal representations in cross-domain generative tasks. To tackle this challenge,…

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IEIT SYSTEMS introduces the updated version, Yuan 2.0-M32. This upgraded edition is a Bilingual Mixture of Expert MoE Language Model, which is fundamentally grounded on the Yuan 2.0. It also features an Attention Router.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 4, 202467Views0Likes0Comments
A research team from IEIT Systems has recently developed a new model, Yuan 2.0-M32, which uses the Mixture of Experts (MoE) architecture. This complex model is built on the same foundation as the Yuan-2.0 2B, but with utilization of 32 experts, only two of whom are active at any given time, resulting in its unique…

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AI-RAG Solutions: Hallucination-Free or Not? Stanford University Researchers Evaluate the Dependability of AI in Legal Research and Face Challenges with Illusions and Precision

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 4, 202458Views0Likes0Comments
Artificial Intelligence (AI) is increasingly being used in legal research and document drafting, aimed at improving efficiency and accuracy. However, concerns regarding the reliability of these tools persist, especially given the potential for the creation of false or misleading information, referred to as "hallucinations". This issue is of particular concern given the high-stakes nature of…

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Navigational Guidance and Prejudices in LLMs: Maneuvering through the Complexities of Persona Representation

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 4, 202466Views0Likes0Comments
Language and Large Model (LLM) research has shifted focus to steerability and persona congruity with complexities, challenging previous research simply based on one-dimensional personas or multiple-choice formats. A persona's intricacy and its potential to multiply biases in LLM simulations when there's lack of alignment with typical demographic views is now recognized. A recent research by…

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