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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, 202434Views0Likes0Comments
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, 202438Views0Likes0Comments
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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CharXiv: An In-depth Assessment Platform Enhancing Advanced Multimodal Big Language Models by Applying Authentic Chart Comprehension Standards

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 29, 202443Views0Likes0Comments
Multimodal large language models (MLLMs) are crucial tools for combining the capabilities of natural language processing (NLP) and computer vision, which are needed to analyze visual and textual data. Particularly useful for interpreting complex charts in scientific, financial, and other documents, the prime challenge lies in improving these models to understand and interpret charts accurately.…

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OpenAI Presents CriticGPT: A Fresh AI Model Founded on GPT-4 for Identifying Mistakes in the Coding Output of ChatGPT

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Technology, UncategorizedJune 29, 202438Views0Likes0Comments
In the rapidly advancing field of Artificial Intelligence (AI), evaluating the outputs of models accurately becomes a complex task. State-of-the-art AI systems such as GPT-4 are using Reinforcement Learning with Human Feedback (RLHF) which implies human judgement is used to guide the training process. However, as AI models become intricate, even experts find it challenging…

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The Influence of Long Context Transfer on Visual Processing through LongVA: Improving Extensive Multimodal Models for Extended Video Segments

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 29, 202439Views0Likes0Comments
The field of research that aims to enhance large multimodal models (LMMs) to effectively interpret long video sequences faces challenges stemming from the extensive amount of visual tokens vision encoders generate. These visual tokens pile up, particularly with LLaVA-1.6 model, which generates between 576 and 2880 visual tokens for one image, a number that significantly…

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Researchers from Carnegie Mellon University suggest a technique called In-Context Abstraction Learning (ICAL) – a method where AI builds a memory bank of insights from multimodal experiences, drawing from imperfect demonstrations and human feedback.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 29, 202430Views0Likes0Comments
Researchers from Carnegie Mellon University and Google's DeepMind have developed a novel approach for training visual-language models (VLMs) called In-Context Abstraction Learning (ICAL). Unlike traditional methods, ICAL guides VLMs to build multimodal abstractions in new domains, allowing machines to better understand and learn from their experiences. This is achieved by focusing on four cognitive abstractions,…

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An In-Depth Analysis of Prompt Engineering for ChatGPT

AI Shorts, Applications, Artificial Intelligence, ChatGPT, Editors Pick, Prompt Engineering, Staff, Tech News, Technology, UncategorizedJune 29, 202440Views0Likes0Comments
Prompt engineering is an essential tool in optimizing the potential of AI language models like ChatGPT. It involves the intentional design and continuous refinement of input prompts to direct the model's output. The strength of a prompt greatly affects the AI's ability to provide relevant and coherent responses, assisting the model in understanding the context…

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Generative AI’s impact and uses are being investigated by MIT researchers who have received their second series of seed grants.

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 29, 202440Views0Likes0Comments
Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart invited researchers to submit papers that lay out effective strategies, policy recommendations, and urgent actions within the field of generative artificial intelligence (AI). Among the 75 received proposals, 27 were selected for seed funding. Impressed by the level of interest and the quality of ideas,…

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Researchers from the University of Toronto have developed a peptide prediction model that outperforms AlphaFold 2.

Biology, Ethics & Society, Healthcare, Medicine, UncategorizedJune 29, 202434Views0Likes0Comments
Researchers at the University of Toronto’s Donelly Centre have developed a state-of-the-art Artificial Intelligence (AI) model, PepFlow, which accurately predicts the form of peptides. Peptides are smaller molecules made up of amino acids, the essential constituents of proteins. The size and flexibility of peptides allow them to fold into different shapes; the precise shape further…

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Researchers from the University of Toronto have constructed a model for predicting peptides that outperforms AlphaFold 2.

Biology, Ethics & Society, Healthcare, Medicine, UncategorizedJune 29, 202434Views0Likes0Comments
Researchers at the University of Toronto’s Donelly Centre have developed an advanced artificial intelligence (AI) model, known as PepFlow, that can foresee the variety of shapes that peptides can form accurately. The different shapes a peptide can take are vital as they determine how it interacts with different molecules in the body, influencing its biological…

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Microsoft unveils a universal “Skeleton Key Jailbreak” that operates across various AI models.

Industry, Microsoft, UncategorizedJune 29, 202428Views0Likes0Comments
Microsoft researchers have found a ubiquitous flaw, called the "Skeleton Key" jailbreak, in AI systems that allows individuals to bypass ethical parameters and generate content that can be harmful and unrestricted. This technique tricks the AI into believing it should comply with any prompts, even if they're unethical, which exposes the system to manipulated attacks.…

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Microsoft unveils “Skeleton Key Jailbreak”, a solution that functions with various AI models.

Industry, Microsoft, UncategorizedJune 29, 202434Views0Likes0Comments
Microsoft security researchers have disclosed a new method for manipulating AI systems into violating their ethical constraints and creating potentially harmful, unrestricted content. This easy-to-execute approach involves tricking the AI into believing that any request, no matter how unethical, should be complied with as it's made by an "advanced researcher" in need of "uncensored information"…

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