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abdelzaher1 (4)Hivebuzz level badge

10 followers64 posts1 following0 HP
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Joined June 2019 Active 9 months ago

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  • abdelzaher1 (4)in #ai • 9 months ago
    featured

    Nvidia AI Introduces the Normalized Transformer (nGPT): A Hypersphere-based Transformer Achieving 4-20x Faster Training and Improved Stability for LLMs

    Researchers from NVIDIA propose a novel architecture called the Normalized Transformer (nGPT), which incorporates representation learning on the hypersphere. In this approach…
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    • abdelzaher1 (4)in #ai • 9 months ago
      featured

      Understanding Local Rank and Information Compression in Deep Neural Networks

      The proposed framework is centered around the definition and analysis of local rank, which is defined as the expected rank of the Jacobian of the pre-activation function with…
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      • abdelzaher1 (4)in #ai • 9 months ago
        featured

        Researchers at Stanford University Propose Locality Alignment: A New Post-Training Stage for Vision Transformers ViTs

        Researchers from Stanford University propose a novel solution called Locality Alignment, which involves a post-training stage for Vision Transformers. This process aims to…
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        • abdelzaher1 (4)in #cats • 9 months ago
          featured

          Only thing that can save me now

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          • abdelzaher1 (4)in #ai • 9 months ago
            featured

            How Large Language Models (LLMs) can Perform Multiple, Computationally Distinct In-Context Learning (ICL) Tasks Simultaneously

            In a recent study from the University of Wisconsin-Madison, the University of Michigan, and Microsoft Research, the occurrence of task superposition across different LLM kinds…
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            • abdelzaher1 (4)in #ai • 9 months ago
              featured

              IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World

              Rule-based systems, traditional machine learning models, and basic AI-driven methods are conventional models for processing IoT data. Processing dense numerical data and complex…
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              • abdelzaher1 (4)in #ai • 9 months ago
                featured

                Differentiable Adaptive Merging (DAM): A Novel AI Approach to Model Integration

                Researchers from Arcee AI and Liquid AI propose a novel merging technique called Differentiable Adaptive Merging (DAM). DAM aims to tackle the complexities of merging language…
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                • abdelzaher1 (4)in #ai • 9 months ago
                  featured

                  Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

                  Google researchers address the challenge of evaluating quantum computer performance in the noisy intermediate-scale quantum (NISQ) era, where quantum processors are highly…
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                  • abdelzaher1 (4)in #ai • 9 months ago
                    featured

                    Google AI Introduces Gemma-APS: A Collection of Gemma Models for Text-to-Propositions Segmentation

                    Google AI Releases Gemma-APS, a collection of Gemma models for text-to-propositions segmentation. The models are distilled from fine-tuned Gemini Pro models applied to…
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                    • abdelzaher1 (4)in #ai • 9 months ago
                      featured

                      MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost

                      A team of researchers from the MEGA-Bench Team introduces MEGA-Bench, an innovative and comprehensive benchmark that scales multimodal evaluation to encompass more than 500…
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                      • abdelzaher1 (4)in #ai • 9 months ago
                        featured

                        Simular Research Introduces Agent S: An Open-Source AI Framework Designed to Interact Autonomously with Computers through a Graphical User Interface

                        Simular Research introduces Agent S, an open agentic framework designed to use computers like a human, specifically through autonomous interaction with GUIs. This framework aims…
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                        • abdelzaher1 (4)in #ai • 10 months ago
                          featured

                          Researchers from UCLA and Stanford Introduce MRAG-Bench: An AI Benchmark Specifically Designed for Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models

                          Researchers from UCLA and Stanford introduced MRAG-Bench, a vision-centric benchmark designed to evaluate the effectiveness of LVLMs in scenarios where visual information…
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                          • abdelzaher1 (4)in #ai • 10 months ago
                            featured

                            OpenR: An Open-Source AI Framework Enhancing Reasoning in Large Language Models

                            Researchers from University College London, the University of Liverpool, Shanghai Jiao Tong University, The Hong Kong University of Science and Technology (Guangzhou), and…
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                            • abdelzaher1 (4)in #ai • 10 months ago
                              featured

                              Researchers from Moore Threads AI Introduce TurboRAG: A Novel AI Approach to Boost RAG Inference Speed

                              Researchers from Moore Threads AI introduce TurboRAG, a novel approach to optimize the inference paradigm of RAG systems by pre-computing and storing the KV caches of documents…
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                              • abdelzaher1 (4)in #ai • 10 months ago
                                featured

                                Exposing Vulnerabilities in Automatic LLM Benchmarks: The Need for Stronger Anti-Cheating Mechanisms

                                Evaluating open-ended text generation is challenging because a single correct output is needed. Human evaluation is reliable but costly and time-consuming, so LLMs are often used…
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                                • abdelzaher1 (4)in #ai • 10 months ago
                                  featured

                                  Researchers at Stanford University Propose ExPLoRA: A Highly Effective AI Technique to Improve Transfer Learning of Pre-Trained Vision Transformers (ViTs) Under Domain Shifts

                                  Vision foundation models (VFMs) like DinoV2 and masked autoencoders (MAE) have shown excellent performance in tasks such as classification and semantic segmentation through…
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                                  • abdelzaher1 (4)in #ai • 10 months ago
                                    featured

                                    INTELLECT-1: The First Decentralized 10-Billion-Parameter AI Model Training

                                    Prime Intellect AI launches INTELLECT-1, the first decentralized training run of a 10-billion-parameter model, inviting anyone to contribute compute and participate. This…
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                                    • abdelzaher1 (4)in #ai • 10 months ago
                                      featured

                                      OpenAI Releases Swarm: An Experimental AI Framework for Building, Orchestrating, and Deploying Multi-Agent Systems

                                      OpenAI introduces the Swarm Framework as a solution to simplify the complexities inherent in multi-agent orchestration. Swarm is an experimental framework that focuses on making…
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                                      • abdelzaher1 (4)in #ai • 10 months ago
                                        featured

                                        Researchers from UCSD and Adobe Introduce Presto!: An AI Approach to Inference Acceleration for Score-based Diffusion Transformers via Reducing both Sampling Steps and Cost Per Step

                                        Existing attempts to address the challenges in Text-to-Audio (TTA) and Text-to-Music (TTM) generation have primarily focused on autoregressive (AR) techniques and diffusion…
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                                        • abdelzaher1 (4)in #ai • 10 months ago
                                          featured

                                          Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs

                                          When RAG systems retrieve external data, there is always the risk of pulling in irrelevant, outdated, or malicious information. A major challenge associated with RAG is the issue…
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