Author: amaechiozor

    Understanding Consensus Protocols: A Comparative Study of PBFT and BBCA-Chain by Chainlink (LINK)
    GitHub Cuts iOS App Testing Time by 60% with New Runner Features

    GitHub has unveiled a major enhancement in its continuous integration and continuous delivery (CI/CD) pipeline …

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    Sparse Maximal Update Parameterization (SμPar): Optimizing Sparse Neural Networks for Superior Training Dynamics and Efficiency
    Sparse Maximal Update Parameterization (SμPar): Optimizing Sparse Neural Networks for Superior Training Dynamics and Efficiency

    Sparse neural networks aim to optimize computational efficiency by reducing the number of active weights in the model. This technique …

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    Steerability and Bias in LLMs: Navigating Multifaceted Persona Representation
    Steerability and Bias in LLMs: Navigating Multifaceted Persona Representation

    LLMs need to generate text reflecting the diverse views of multifaceted personas. Prior studies on bias in LLMs have focused …

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    GitHub Introduces Arm64 Runners for Enhanced Performance and Sustainability
    GitHub Introduces Arm64 Runners for Enhanced Performance and Sustainability

    GitHub has announced the introduction of ArmⓇ-based Linux and Windows runners for GitHub Actions, significantly …

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    Intel details Lunar Lake architecture for AI PCs
    Intel details Lunar Lake architecture for AI PCs

    Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. …

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    Intel's Xeon 6 chips: Revolutionizing data centers for enterprise AI
    Intel’s Xeon 6 chips: Revolutionizing data centers for enterprise AI

    Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. …

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    Are AI-RAG Solutions Really Hallucination-Free? Researchers at Stanford University Assess the Reliability of AI in Legal Research: Hallucinations and Accuracy Challenges
    IBM Introduces Efficient LLM Benchmarking Method, Cutting Compute Costs by 99%
    IBM Introduces Efficient LLM Benchmarking Method, Cutting Compute Costs by 99%

    IBM Research has unveiled a groundbreaking method for benchmarking large language models (LLMs) that promises …

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    IEIT SYSTEMS Releases Yuan 2.0-M32: A Bilingual Mixture of Experts MoE Language Model based on Yuan 2.0. Attention Router
    IEIT SYSTEMS Releases Yuan 2.0-M32: A Bilingual Mixture of Experts MoE Language Model based on Yuan 2.0. Attention Router

    In recent research, a team of researchers from IEIT Systems has developed Yuan 2.0-M32, a sophisticated model built using the …

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    Bitfarms (BITF) Reports Significant Hashrate Increase and Operational Expansion
    Bitfarms (BITF) Reports Significant Hashrate Increase and Operational Expansion

    Bitfarms Ltd. (NASDAQ/TSX: BITF), a leading global Bitcoin (BTC) mining company, has announced its production …

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