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Scientists at Microsoft AI suggest LLM-ABR: A newly developed machine learning system that uses LLMs for the creation of adaptive bitrate (ABR) algorithms.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 7, 202438Views0Likes0Comments
Large Language Models (LLMs) have become increasingly influential in many fields due to their ability to generate sophisticated text and code. Trained on extensive text databases, these models can translate user requests into code snippets, design specific functions, and even create whole projects from scratch. They have numerous applications, including generating heuristic greedy algorithms for…

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A Novice’s Guide on Utilizing Google Colab

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 7, 202443Views0Likes0Comments
Google Colab, also known as Google Colaboratory, is a free cloud service that enables Python programming and machine learning. The platform is praised for its ease of setup, effortless sharing capability, availability of free and premium GPUs, and as such, is utilized by students, data scientists, and artificial intelligence researchers. This article discusses how to…

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Scientists from Intel Labs have unveiled LLaVA-Gemma, a compact vision-language module utilizing two versions of the Gemma Large Language Model, namely Gemma-2B and Gemma-7B.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 7, 202442Views0Likes0Comments
Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have sparked a surge of interest in large multimodal models (LMMs). LLMs and MMFMs, including models such as GPT-4 and LLaVA, have demonstrated exceptional performance in vision-language tasks, including Visual Question Answering and image captioning. However, these models also require high computational resources,…

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Assessing AI Model Safety via Red Teaming Method: An In-depth Analysis of LLM and MLLM’s Resilience to Jailbreak Assaults and Prospective Enhancements

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 7, 202440Views0Likes0Comments
Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are key advancements in artificial intelligence (AI) capable of generating text, interpreting images, and understanding complex multimodal inputs, mimicking human intelligence. However, concerns arise due to their potential misuse and vulnerabilities to jailbreak attacks, where malicious inputs trick the models into generating harmful or objectionable…

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Introducing AnythingLLM: A Publicly Accessible, Comprehensive AI Desktop Application for Local LLMs + RAG.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Open Source Projects, Staff, Tech News, Technology, UncategorizedApril 7, 202446Views0Likes0Comments
In the modern business landscape, artificial intelligence (AI) has dramatically reshaped how organizations communicate, particularly when it comes to making use of documents. This is where AnythingLLM comes in – an open-source, innovative full-stack application that uses chatbot technology to enhance how companies interact with their documents. AnythingLLM is designed with an emphasis on efficiency,…

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The automated platform instructs users on the appropriate instances to engage with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 7, 202437Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a method of teaching users when to collaborate with an artificial intelligence (AI) assistant. The model creates a customised onboarding process, educating users on when to trust or ignore an AI model’s advice. The training process can detect situations where the AI model is…

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The team from MIT has published reports on the management of AI.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 7, 202445Views0Likes0Comments
A committee consisting of leaders and scholars from the Massachusetts Institute of Technology (MIT) have released policy briefs that provide a blueprint for governing artificial intelligence (AI) in the U.S. The committee believes that existing regulatory and liability processes can be extended to regulate AI in the U.S. The goal is to strengthen U.S. leadership…

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A software engineer advances the limits of geometric study.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 7, 202439Views0Likes0Comments
Justin Solomon is an associate professor in the MIT Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory who is using geometric techniques to solve complex problems in data science and artificial intelligence, among other areas. These techniques draw upon the geometric structures within datasets to…

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Bridging the gap between design and production for optical instruments.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 7, 202437Views0Likes0Comments
Photolithography, the technique of etching features onto a surface using light manipulation, is commonly used in the manufacturing of computer chips and optical devices. However, small deviations during the manufacturing process often impact the performance of the finished product. To address this, researchers from MIT and the Chinese University of Hong Kong have leveraged machine…

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Deep neural networks exhibit potential as representations of human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 7, 202437Views0Likes0Comments
MIT researchers have found that computational models based on machine learning that simulate the human auditory system are drawing closer to potentially helping in the creation of improved hearing aids, cochlear implants and brain-machine interfaces. The study is the most comprehensive comparison so far made between these computer models and the human auditory system. Notably,…

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How Can an AI Assistant Enhance Your Content Strategy? Paving the Way for Increased Productivity and Originality.

Guest Post, UncategorizedApril 7, 202437Views0Likes0Comments
The modern marketing arena is fiercely competitive with time becoming a valuable commodity. The process of data analysis and generating quality content can be complex and time-consuming. This is where Artificial Intelligence (AI) assistants come into play. AI can significantly increase efficiency by analyzing data and creating content at unmatched speeds. This allows companies to…

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