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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, 202433Views0Likes0Comments
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, 202444Views0Likes0Comments
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, 202437Views0Likes0Comments
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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This Artificial Intelligence research study from Cornell University deciphers the intricate factors in estimating interventional probability.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedMay 29, 202426Views0Likes0Comments
Causal models play a vital role in establishing the cause-and-effect associations between variables in complex systems, though they struggle to estimate probabilities associated with multiple interventions and conditions. Two main types of causal models have been the focus of AI research - functional causal models and causal Bayesian networks (CBN). Functional causal models make it…

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Investigations at Arizona State University Assess ReAct Prompting: The Importance of Similar Examples in Boosting Extensive Language Model Logic

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedMay 29, 202431Views0Likes0Comments
Large language models (LLMs) have rapidly improved over time, proving their prowess in text generation, summarization, translation, and question-answering tasks. These advancements have led researchers to explore their potential in reasoning and planning tasks. Despite this growth, evaluating the effectiveness of LLMs in these complex tasks remains a challenge. It's difficult to assess if any performance…

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Improving Agent Strategy: A Parametric AI Method for Global Awareness

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202436Views0Likes0Comments
Large Language Models (LLMs) have revolutionized natural language processing tasks, and their potential in physical world planning tasks is beginning to be leveraged. However, these models often encounter problems in understanding the actual world, resulting in hallucinatory actions and a reliance on trial-and-error behavior. Researchers have noted that humans perform tasks efficiently by leveraging global…

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Symflower introduces DevQualityEval: A Fresh Benchmark for Improving Code Quality in Comprehensive Language Models

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202434Views0Likes0Comments
Symflower has introduced a new evaluation benchmark and framework, DevQualityEval, designed to enhance the code quality produced by large language models (LLMs). Made mainly for developers, this tool helps in assessing the effectiveness of LLMs in tackling complex programming tasks and generating reliable test cases. DevQualityEval first seeks to resolve the issue of assessing code quality…

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Symflower introduces DevQualityEval: A Fresh Standard for Improving Code Quality in Extensive Language Models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202438Views0Likes0Comments
Symflower has launched DevQualityEval, an innovative evaluation benchmark and framework aimed at improving the quality of code produced by large language models (LLMs). The new tool allows developers to assess and upgrade LLMs’ capabilities in real-world software development scenarios. DevQualityEval provides a standardized means of assessing the performance of varying LLMs in generating high-quality code.…

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Unleashing the Capabilities of SirLLM: Progress in Enhancing Memory Retention and Attention Systems.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202431Views0Likes0Comments
The rapid advancement of large language models (LLMs) has paved the way for the development of numerous Natural Language Processing (NLP) applications, including chatbots, writing assistants, and programming tools. However, these applications often necessitate infinite input lengths and robust memory capabilities, features currently lacking in existing LLMs. Preserving memory and accommodating infinite input lengths remain…

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