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MIT researchers examining the influence and uses of generative AI have received a second batch of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 6, 202442Views0Likes0Comments
MIT President Sally Kornbluth and Provost Cynthia Barnhart launched a call for papers last summer relating to generative AI, with the aim of collecting effective strategies, policy suggestions, and calls to action in this expansive field. The response was overwhelming, with a total submission of 75 proposals, out of which 27 were chosen for seed…

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Dropout: An Innovative Method for Minimizing Overfitting in Neural Networks

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 5, 202434Views0Likes0Comments
Overfitting is a prevalent problem when training large neural networks on limited data. It indicates a model's strong performance on the training data but its failure to perform comparably on unseen test data. This issue arises when the network’s feature detectors become overly specialized to the training data, building complex dependencies that do not apply…

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Researchers from Google Disclose Useful Understanding of Knowledge Distillation for Optimizing Models

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 5, 202428Views0Likes0Comments
The computer vision sector is currently dominated by large-scale models that offer remarkable performance but demand high computational resources, making them impractical for real-world applications. To address this, the Google Research Team has opted to reduce these models into smaller, more efficient architectures via model pruning and knowledge distillation. The team's focus is on knowledge…

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The second instance of seed funding has been granted to MIT researchers examining the effects and uses of generative AI.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 5, 202438Views0Likes0Comments
Last year, a request from MIT President Sally Kornbluth and Provost Cynthia Barnhart for research proposals concerning generative AI initiatives resulted in 75 submissions. Out of these, 27 were selected for initial funding. Inspired by the impressive response, Kornbluth and Barnhart issued a second call for papers last fall. This resulted in 53 more proposals,…

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Upcoming Major Innovations in Extensive Language Model (LLM) Studies

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Small Language Model, Staff, Tech News, Technology, UncategorizedJuly 5, 202437Views0Likes0Comments
The evolution of Large Language Models (LLMs) in artificial intelligence has spawned several sub-groups, including Multi-Modal LLMs, Open-Source LLMs, Domain-specific LLMs, LLM Agents, Smaller LLMs, and Non-Transformer LLMs. Multi-Modal LLMs, such as OpenAI's Sora, Google's Gemini, and LLaVA, consolidate various types of input like images, videos, and text to perform more sophisticated tasks. OpenAI's Sora…

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Five Most Efficient Design Patterns for Real-world Applications of LLM Agents

AI Agents, AI Shorts, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 5, 202433Views0Likes0Comments
The creation and implementation of effective AI agents have become a vital point of interest in the Language Learning Model (LLM) field. AI company, Anthropic, recently spotlighted several successful design patterns being employed in practical applications. Discussed in relation to Claude's models, these patterns offer transferable insights for other LLMs. Five key design patterns examined…

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Top 5 Efficient Design Models for LLM Agents in Practical Applications

AI Agents, AI Shorts, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 5, 202431Views0Likes0Comments
As the use of AI, specifically linguistically-minded model (LLM) agents, increases in our world, companies are striving to create more efficient design patterns to optimize their AI resources. Recently, a company called Anthropic has introduced several patterns that are notably successful in practical applications. These patterns include Delegation, Parallelization, Specialization, Debate, and Tool Suite Experts,…

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Microsoft AI Unveils Master Key: A Novel Generative AI Escape Method

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 5, 202436Views0Likes0Comments
Generative AI jailbreaking is a technique that allows users to get artificial intelligence (AI) to create potentially harmful or unsafe content. Microsoft researchers recently discovered a new jailbreaking method they dubbed "Skeleton Key." This technique tricks AI into ignoring safety guidelines and Responsible AI (RAI) guardrails that help prevent it from producing offensive, illegal or…

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Researchers from Carnegie Mellon University Suggest XEUS: A Universal Speech Encoder Cross-Linguistically Trained in Over 4000 Languages.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 5, 202432Views0Likes0Comments
Self-supervised learning (SSL) has broadened the application of speech technology by minimizing the requirement for labeled data. However, the current models only support approximately 100-150 of the over 7,000 languages in the world. This is primarily due to the lack of transcribed speech and the fact that only about half of these languages have formal…

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Reconsidering the Design of QA Dataset: How does Widely Accepted Knowledge Improve the Accuracy of LLM?

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 5, 202437Views0Likes0Comments
Large language models (LLMs) are known for their ability to contain vast amounts of factual information, leading to their effective use in factual question-answering tasks. However, these models often create appropriate but incorrect responses due to issues related to retrieval and application of their stored knowledge. This undermines their dependability and hinders their wide adoption…

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The second phase of funding grants has been given to MIT researchers examining the effects and uses of generative artificial intelligence.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 5, 202436Views0Likes0Comments
In recent months, the Massachusetts Institute of Technology (MIT) called for papers on the topic of artificial intelligence (AI), set to construct effective roadmaps, policy recommendations, and action strategies across generative AI. The response was overwhelmingly positive with 75 paper proposals submitted. Out of these, 27 were chosen for seed funding. Given the successful outcome…

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Promoting Sustainability via Automation and Artificial Intelligence in Fungi-oriented Bioprocessing

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 4, 202438Views0Likes0Comments
The integration of automation and artificial intelligence (AI) in fungi-based bioprocesses is becoming instrumental in achieving sustainability through a circular economy model. These processes take advantage of the metabolic versatility of filamentous fungi, allowing for conversion of organic substances into bioproducts. Automation replaces manual procedures enhancing efficiency, while AI improves decision making and control based…

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