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Stanford and MIT researchers have unveiled the Stream of Search (SoS): A Machine Learning structure, designed to allow language models to learn how to resolve issues by conducting searches in language without relying on any external assistance.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202434Views0Likes0Comments
To improve the planning and problem-solving capabilities of language models, researchers from Stanford University, MIT, and Harvey Mudd have introduced a method called Stream of Search (SoS). This method trains language models on search sequences represented as serialized strings. It essentially presents these models with a set of problems and solutions in the language they…

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A collaborative team from MIT and Stanford introduced the Search of Stream (SoS), a machine learning structure that allows language models to learn problem-solving skills through linguistic searching without the need for external assistance.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202440Views0Likes0Comments
Language models (LMs) are a crucial segment of artificial intelligence and can play a key role in complex decision-making, planning, and reasoning. However, despite LMs having the capacity to learn and improve, their training often lacks exposure to effective learning from mistakes. Several models also face difficulties in planning and anticipating the consequences of their…

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This AI Research Presents ReasonEval: An Innovative Machine Learning Approach for Assessing Mathematical Logic Beyond Precision

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202437Views0Likes0Comments
The complexity of mathematical reasoning in large language models (LLMs) often exceed the capabilities of existing evaluation methods. These models are crucial for problem-solving and decision-making, particularly in the field of artificial intelligence (AI). Yet the primary method of evaluation – comparing the final LLM result to a ground truth and then calculating overall accuracy…

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The University of Cambridge’s researchers have suggested AnchorAL: an innovative method of machine learning for active learning in tasks involving unbalanced classification.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202434Views0Likes0Comments
Generative language models in the field of natural language processing (NLP) have fuelled significant progression, largely due to the availability of a vast amount of web-scale textual data. Such models can analyze and learn complex linguistic structures and patterns, which are subsequently used for various tasks. However, successful implementation of these models depends heavily on…

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Meta has unveiled a machine learning (ML) method that enables holistic solutions to networking issues across various layers, including Bandwidth Expansion (BWE).

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 11, 202432Views0Likes0Comments
Meta has developed a machine-learning (ML) model to improve the efficiency and reliability of real-time communication (RTC) across its various apps. Developing this ML-based solution is an answer to the limitations of existing bandwidth estimation (BWE) and congestion control methods, such as the Google Congestion Controller (GCC) used in WebRTC, which relies on hand-tuned parameters…

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AutoWebGLM: An Automated Web Navigation Agent, Superior to GPT-4, Based on ChatGLM3-6B

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 11, 202437Views0Likes0Comments
Large Language Models (LLMs) have taken center stage in many intelligent agent tasks due to their cognitive abilities and quick responses. Even so, existing models often fail to meet demands when negotiating and navigating the multitude of complexities on webpages. Factors such as versatility of actions, HTML text-processing constraints, and the intricacy of on-the-spot decision-making…

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Sigma: Altering Views on AI with Multiple-Modal Semantic Segmentation via a Siamese Mamba Network for Improved Comprehension of the Environment

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Technology, UncategorizedApril 11, 202437Views0Likes0Comments
The field of semantic segmentation in artificial intelligence (AI) has seen significant progress, but it still faces distinct challenges, especially imaging in problematic conditions such as poor lighting or obstructions. To help bridge these gaps, researchers are looking into various multi-modal semantic segmentation techniques that combine traditional visual data with additional information sources like thermal…

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CT-LLM: A Compact LLM Demonstrating the Important Move to Prioritize Chinese Language in LLM Development

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 11, 202443Views0Likes0Comments
Natural Language Processing (NLP) has traditionally centered around English language models, thereby excluding a significant portion of the global population. However, this status quo is being challenged by the Chinese Tiny LLM (CT-LLM), a groundbreaking development aimed at a more inclusive era of language models. CT-LLM, innovatively trained on the Chinese language, one of the…

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Meta Boosts AI Potential with Cutting-Edge MTIA Chips

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Hardware, Staff, Tech News, Technology, UncategorizedApril 11, 202444Views0Likes0Comments
Tech giant Meta is pushing the boundaries of artificial intelligence (AI) by introducing the latest version of the Meta Training and Inference Accelerator (MTIA) chip. This move is significant in Meta’s commitment to enhance AI-driven experiences across its products and services. The new MTIA chip shows remarkable performance enhancements compared to its predecessor, MTIA v1, particularly…

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Mistral AI disrupts the AI sphere with its open-source model, Mixtral 8x22B.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 11, 202446Views0Likes0Comments
In an industry where large corporations like OpenAI, Meta, and Google dominate, Paris-based AI startup Mistral has recently launched its open-source language model, Mixtral 8x22B. This bold venture establishes Mistral as a notable contender in the field of AI, while simultaneously challenging established models with its commitment to open-source development. Mixtral 8x22B impressively features an advanced…

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