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Broad Spectrum Antibodies for HIV-1 Identified Through Machine Learning: A Breakthrough Innovation Using the RAIN Computational System.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 30, 202463Views0Likes0Comments
Broadly neutralizing antibodies (bNAbs) play a crucial role in fighting HIV-1, functioning by targeting the virus's envelope proteins which shows promise in reducing viral loads and preventing infection. However, identifying these antibodies is a complex process due to the virus's rapid mutation and evasion from the immune system. Only 255 bNAbs have been discovered, therefore…

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CaLM: Connecting Big and Tiny Language Models for Reliable Data Creation

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Small Language Model, Staff, Tech News, Technology, UncategorizedJune 30, 202460Views0Likes0Comments
The paper discusses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses. This is difficult as the current methods often require assistance due to errors and hallucinations, which results in incorrect or misleading information. To address this, the researchers introduce a new verification framework to improve the accuracy and…

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MuxServe: An Adaptable and High-Efficiency System for Spatial-Temporal Multiplexing, Simultaneously Serving Multiple LLMs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 30, 202471Views0Likes0Comments
Large Language Models (LLMs), which have immense computational needs, have revolutionized a variety of artificial intelligence (AI) applications, yet the efficient delivery of multiple LLMs remains a challenge due to their computational requirements. Present methods, like spatial partitioning that designates different GPU groups for each LLM, need improvement as lack of concurrency leads to resource…

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The second series of funding grants has been distributed to MIT researchers investigating 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, UncategorizedJune 30, 202473Views0Likes0Comments
The Massachusetts Institute of Technology (MIT) has announced its plan to fund 16 research proposals dedicated to exploring the potential of generative Artificial Intelligence (AI). The funding process began last summer when MIT President Sally Kornbluth and Provost Cynthia Barnhart invited research papers that could provide robust policy guidelines, efficient roadmaps, and calls to action…

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Utilizing AlphaFold and AI for Quick Discovery of Specialized Therapies for Liver Cancer

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 30, 202468Views0Likes0Comments
Artificial Intelligence (AI) has been making strides in the field of drug discovery, and DeepMind's AI model AlphaFold has made significant contributions. In 2020, AlphaFold managed to predict the structures of almost the entire human genome, a groundbreaking achievement that allows a better understanding of protein activity and their potential role in diseases. This is…

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Google DeepMind Presents WARP: A New Technique of Reinforcement Learning from Human Feedback (RLHF) for Tuning Language Learning Models (LLMs) and Enhancing the Solutions’ Trade-off between KL-Reward

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 30, 202469Views0Likes0Comments
Reinforcement learning from human feedback (RLHF) is a technique that encourages artificial intelligence (AI) to generate high rewards by aligning large language models (LLMs) with a reward model based on human preferences. However, it is beset by several challenges, such as the limiting of fine-tuning processes to small datasets, the risk of AI exploiting flaws…

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Google DeepMind Presents WARP: A Unique Approach to Reinforcement Learning from Human Feedback (RLHF) for the Synchronization of Large Language Models (LLMs) and Optimization of the KL-Reward Pareto Solutions Spectrum.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 30, 202467Views0Likes0Comments
Reinforcement Learning from Human Feedback (RLHF) uses a reward model trained on human preferences to align large language models (LLMs) with the aim of optimizing rewards. Yet, there are issues such as the model becoming too specialized, the potential for the LLM to exploit flaws in the reward model, and a reduction in output variety.…

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Role of Language Models such as ChatGPT in Scientific Investigations: Combining Highly Efficient AI and Advanced Computing to Tackle Intricate Problems and Hasten Discoveries in Various Domains.

AI Shorts, Applications, Artificial Intelligence, ChatGPT, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 30, 202463Views0Likes0Comments
The intersecting potential of AI systems and high-performance computing (HPC) platforms is becoming increasingly apparent in the scientific research landscape. AI models like ChatGPT, developed on the basis of transformer architecture and with the ability to train on extensive amounts of internet-scale data, have laid the groundwork for significant scientific breakthroughs. These include black hole…

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How LLMs, such as ChatGPT, Contribute to Scientific Research: Merging High-Capacity AI and Sophisticated Computing to Solve Intricate Issues and Hasten Innovations in Various Disciplines

AI Shorts, Applications, Artificial Intelligence, ChatGPT, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 30, 202466Views0Likes0Comments
Artificial Intelligence (AI) has demonstrated transformative potential in scientific research, particularly when scalable AI systems are applied to high-performance computing (HPC) platforms. This necessitates the integration of large-scale computational resources with expansive datasets to tackle complex scientific problems. AI models like ChatGPT serve as exemplars of this transformative potential. The success of these models can…

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This study by UC Berkeley showcases how the division of tasks could potentially undermine the security of artificial intelligence (AI) systems, initiating misuse.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Tech News, Technology, UncategorizedJune 30, 202474Views0Likes0Comments
Artificial Intelligence (AI) systems are tested rigorously before their release to ensure they cannot be used for dangerous activities like bioterrorism or manipulation. Such safety measures are essential as powerful AI systems are coded to reject commands that may harm them, unlike less potent open-source models. However, researchers from UC Berkeley recently found that guaranteeing…

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Transformers 4.42 by Hugging Face: Introducing Gemma 2, RT-DETR, InstructBlip, LLaVa-NeXT-Video, Improved Tool Application, RAG Assistance, GGUF Precision Adjustment, and Compressed KV Cache

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 30, 202462Views0Likes0Comments
Machine learning pioneer Hugging Face has launched Transformers version 4.42, a meaningful update to its well-regarded machine-learning library. Significant enhancements include the introduction of several advanced models, improved tool and retrieval-augmented generation support, GGUF fine-tuning, and quantized KV cache incorporation among other enhancements. The release features the addition of new models like Gemma 2, RT-DETR, InstructBlip,…

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MIT researchers exploring the impacts and uses of generative AI receive their second set of seed grant installments.

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, UncategorizedJune 30, 202468Views0Likes0Comments
In response to a call from MIT President Sally Kornbluth and Provost Cynthia Barnhart, researchers have submitted 75 proposals addressing the use of generative AI. Due to the overwhelming response, a second call was issued, with 53 submissions. A selected 27 from the initial call, and 16 from the second have been granted seed funding.…

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