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Surpassing the Euclidean Model: A Strategy for Enhancing Machine Learning with Geometrical, Topological, and Algebraic Configurations.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 19, 202432Views0Likes0Comments
The world of machine learning has been based on Euclidean geometry, where data resides in flat spaces characterized by straight lines. However, traditional machine learning methods fall short with non-Euclidean data, commonly found in the fields such as neuroscience, computer vision, and advanced physics. This paper brings to light these shortcomings, and emphasizes the need…

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Promoting Education via Augmented Reality Aided by Machine Learning: Existing Implementations, Issues, and Prospective Pathways

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Technology, UncategorizedJuly 19, 202436Views0Likes0Comments
Machine Learning (ML) significantly contributes to the augmentation of Augmented Reality (AR) across a variety of educational fields, promoting superior object visualizations and interactive capabilities. This analysis reviews the intersection of ML and AR, detailing the widespread applications from kindergarten education to university learning. It investigates ML frameworks including support vector machines, Deep Learning Convolutional…

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Introducing Serra: A Artificial Intelligence-Powered Search Tool for Recruiters to Identify Optimal Candidates inside and outside their Applicant Tracking System.

AI Shorts, AI Startups, AI Tool, Applications, Artificial Intelligence, Editors Pick, Staff, Startup, Tech News, Technology, UncategorizedJuly 19, 202434Views0Likes0Comments
Recruiting the right candidates, both inbound and outbound, often presents recruiters with a strenuous and time-consuming challenge, which often results in lengthy hiring processes, missed opportunities, and sub-par recruitment choices. This is where Serra comes into play. Serra is an artificial intelligence (AI)-powered candidate search engine designed to ease the recruitment process. It enables recruiters…

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Assessing Language Model Compression Beyond Accuracy: A Look at Distance Metrics

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 19, 202438Views0Likes0Comments
Assessing the effectiveness of Large Language Model (LLM) compression techniques is a vital challenge in AI. Traditional compression methods like quantization look to optimize LLM efficiency by reducing computational overhead and latency. But, the conventional accuracy metrics used in evaluations often overlook subtle changes in model behavior, including the occurrence of "flips" where right answers…

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Sibyl: An AI Agent Structure Created to Improve the Ability of LLMs in Intricate Logical Tasks

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 19, 202429Views0Likes0Comments
Large language models (LLMs) can revolutionize human-computer interaction but struggle with complex reasoning tasks, a situation prompting the need for a more streamlined and powerful approach. Current LLM-based agents perform well in straightforward scenarios but struggle with complex situations, emphasizing the need for improving these agents to tackle an array of intricate problems. Researchers from Baichuan…

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Groq Launches Llama-3-Groq-70B and Llama-3-Groq-8B Tools: Innovative Open-Source Models Demonstrating More than 90% Precision on Berkeley Function Calling Performance Chart

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 19, 202431Views0Likes0Comments
Groq, in partnership with Glaive, has recently introduced two state-of-the-art AI models for tool use: Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use. By outperforming all previous models, these innovations have achieved over 90% accuracy on the Berkeley Function Calling Leaderboard (BFCL) and are now open-sourced and available on GroqCloud Developer Hub and Hugging Face. The models leveraged ethically generated…

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Google DeepMind scientists have unveiled YouTube-SL-25, a multilingual corpus containing over 3000 hours of sign language videos that encapsulate more than 25 languages.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 19, 202429Views0Likes0Comments
Sign language research is aimed at improving technology to better understand and interpret sign languages used by Deaf and hard-of-hearing communities globally. This involves creating extensive datasets, innovative machine-learning models, and refining tools for translation and identification for numerous applications. However, due to the lack of standardized written form for sign languages, there is a…

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Mistral AI is partnering with NVIDIA to launch Mistral NeMo, a 12B Open Language Model that encompasses features such as a 128k Context Window, multilingual abilities, and a Tekken Tokenizer.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Tech News, Technology, UncategorizedJuly 19, 202431Views0Likes0Comments
The Mistral AI team, together with NVIDIA, has launched Mistral NeMo, a state-of-the-art 12-billion parameter artificial intelligence model. Released under the Apache 2.0 license, this high-performance multilingual model can manage a context window of up to 128,000 tokens. The considerable context length is a significant evolution, allowing the model to process and understand massive amounts…

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GPT-4o Mini: The Newest and Most Economically Viable Mini AI Model by OpenAI

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 19, 202428Views0Likes0Comments
OpenAI has released its most cost-efficient miniature AI model, GPT-4o Mini, which is set to expand the scope of AI applications due to its affordable price and powerful capabilities. This model is substantially more cost-effective compared to its predecessors, such as GPT-3.5 Turbo, and is priced at 15 cents per million input tokens and 60…

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PredBench: An All-Inclusive AI Standard for Assessing 12 Space-Time Forecasting Approaches across 15 Varied Data Sets via Multi-faceted Analysis.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 18, 202432Views0Likes0Comments
Spatiotemporal prediction, a significant focus of research in computer vision and artificial intelligence, holds broad applications in areas such as weather forecasting, robotics, and autonomous vehicles. It uses past and present data to form models for predicting future states. However, the lack of standardized frameworks for comparing different network architectures has presented a significant challenge.…

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Microsoft’s research team has put forth the concept of Auto Evol-Instruct – a comprehensive AI system capable of developing instruction datasets employing extensive language models, without requiring any human intervention.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 18, 202440Views0Likes0Comments
Large language models (LLMs) are crucial in advancing artificial intelligence, particularly in refining the ability of AI models to follow detailed instructions. This complex process involves enhancing the datasets used in training LLMs, which ultimately leads to the creation of more sophisticated and versatile AI systems. However, the challenge lies in the dependency on high-quality…

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G-Retriever: Progressing Graph Question Answering in Real-Life Situations through RAG and LLMs

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 18, 202437Views0Likes0Comments
Artificial Intelligence has made significant progress with Large Language Models (LLMs), but their capability to process complex structured graph data remains challenging. Many real-world data structures, such as the web, e-commerce systems, and knowledge graphs, have a definite graph structure. While attempts have been made to amalgamate technologies like Graph Neural Networks (GNNs) with LLMs,…

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