Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Artificial Intelligence

Close

Release Announcement: The Mistral-Large-Instruct-2407, a multilingual AI featuring a 128K context and proficiency in over 80 programming languages, has been launched. With an MMLU (Machine Learning Understanding) score of 84.0% and HumanEval score of 92%, along with solid 93% performance on the GSM8K test, this represents a significant advancement.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Tech News, Technology, UncategorizedJuly 26, 202433Views0Likes0Comments
AI firm Mistral AI has launched the Mistral Large 2 model, its latest flagship AI model. The new iteration offers significant improvements on its predecessor, with considerable ability in code generation, mathematics, reasoning, and advanced multilingual support. Furthermore, Mistral Large 2 offers enhanced function-calling capabilities and is designed to be cost-efficient, high-speed, and high-performance. Users can…

Read More

Imposter.AI: Revealing Tactics for Adversarial Assaults to Highlight Weaknesses in Sophisticated High Volume Language Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 26, 202434Views0Likes0Comments
Large Language Models (LLMs), widely used in automation and content creation, are vulnerable to manipulation by adversarial attacks, leading to significant risk of misinformation, privacy breaches, and enabling criminal activities. According to research led by Meetyou AI Lab, Osaka University and East China Normal University, these sophisticated models are open to harmful exploitation despite safety…

Read More

MIT’s recent AI research indicates that an individual’s perceptions of an LLM significantly influence its efficiency and are critical to its implementation.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Tech News, Technology, UncategorizedJuly 26, 202433Views0Likes0Comments
MIT and Harvard researchers have highlighted the divergence between human expectations of AI system capabilities and their actual performance, particularly in large language models (LLMs). The inconsistent ability of AI to match human expectations could potentially erode public trust, thereby obstructing the broad adoption of AI technology. This issue, the researchers emphasized, escalates the risk…

Read More

EuroCropsML: A Ready-for-Analysis Machine Learning Dataset for Time Ordered Crop-Type Identification using Remote Sensing across European Agricultural Plots

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 26, 202434Views0Likes0Comments
Remote sensing is a crucial and innovative technology that utilizes satellite and aerial sensor technologies for the detection and classification of objects on Earth. This technology plays a significant role in environmental monitoring, agricultural management, and natural resource conservation. It enables scientists to accumulate massive amounts of data over large geographical areas and timeframes, providing…

Read More

EVAL-LMMS: A Consolidated and Uniform Multimodal AI Evaluation Framework for Clear and Repeatable Assessments

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 26, 202429Views0Likes0Comments
Large Language Models (LLMs) such as GPT-4, Gemini, and Claude have exhibited striking capabilities but evaluating them is complex, necessitating an integrated, transparent, standardized and reproducible framework. Despite the challenges, no comprehensive evaluation technique currently exists, which has hampered progress in this area. However, researchers from the LMMs-Lab Team and S-Lab at NTU, Singapore, developed the…

Read More

Unified and Standardized Multimodal AI Benchmark Framework for Clear and Consistent Evaluations: An LMMS-EVAL Overview

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 26, 202430Views0Likes0Comments
Fundamental large language models (LLMs) including GPT-4, Gemini and Claude have shown significant competencies, matching or surpassing human performance. In this light, benchmarks are necessary tools to determine the strengths and weaknesses of various models. Transparent, standardized and reproducible evaluations are crucial and much needed for language and multimodal models. However, the development of custom…

Read More

To improve an AI assistant, initiate by simulating the unpredictable conduct of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 26, 202432Views0Likes0Comments
Researchers from MIT and the University of Washington have developed a computational model to predict human behavior while taking into account the suboptimal decisions humans often make due to computational constraints. The researchers believe such a model could help AI systems anticipate and counterbalance human-derived errors, enhancing the efficacy of AI-human collaboration. Suboptimal decision-making is characteristic…

Read More

To create an improved AI assistant, begin by simulating the unpredictable actions of people.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 26, 202431Views0Likes0Comments
Researchers at MIT and the University of Washington have successfully developed a model that can infer an agent's computational constraints from observing a few samples of their past actions. The findings could potentially enhance the ability of AI systems to collaborate more effectively with humans. The scientists found that human decision-making often deviates from optimal,…

Read More

This miniature circuit can protect user information while facilitating effective calculations on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedJuly 26, 202437Views0Likes0Comments
A team of researchers from MIT and the MIT-IBM Watson AI Lab has developed a machine-learning accelerator that is resistant to the two most common types of cyberattacks. This ensures that sensitive information such as finance and health records remain private while still enabling large AI models to run efficiently on devices. The researchers targeted…

Read More

Julie Shah has been appointed as the leader of the Department of Aeronautics and Astronautics.

Administration, Aeronautical and astronautical engineering, Alumni/ae, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Electrical Engineering & Computer Science (eecs), Faculty, Leadership, MIT Schwarzman College of Computing, Robotics, School of Engineering, UncategorizedJuly 26, 202428Views0Likes0Comments
Julie Shah, a distinguished scholar and academic thought-leader, is set to assume the role of head of the Department of Aeronautics and Astronautics (AeroAstro) at Massachusetts Institute of Technology (MIT), effective May 1. As affirmed by Anantha Chandrakasan, MIT’s chief innovation and strategy officer, Shah has a remarkable record of interdisciplinary leadership and visionary contributions…

Read More

Amazon SageMaker Inference introduces enhanced auto scaling for AI generative models, improving its speed.

Amazon SageMaker, Announcements, Artificial Intelligence, UncategorizedJuly 26, 202437Views0Likes0Comments
Amazon SageMaker has introduced a new capability that can help reduce the time it takes for the generative artificial intelligence (AI) models it supports to automatically scale. With this enhancement, the responsiveness of AI applications can be improved when demand becomes volatile. The emergence of foundation models (FMs) and large language models (LLMs) has brought…

Read More

+60 12-462 2768
hello@goacademyai.com