Qwen-QwQ-32B !! What’s DifferentIn the rapidly advancing field of artificial intelligence, large language models (LLMs) are continually pushing the boundaries of what…Nov 29, 2024Nov 29, 2024
Exploring Mesop: A Comprehensive Python Web Framework Beyond Streamlit for AI and ML ApplicationsToday, I discovered Mesop, a Python-centric web framework developed by Google. As someone who has previously used Streamlit for building ML…Aug 4, 2024Aug 4, 2024
Scaling New Heights: LLaMA 3.1 405 B and H100 Tensor GPUsLLaMA 3.1, developed by Meta, represents a significant advancement in the series of large language models designed to push the boundaries…Jul 25, 2024Jul 25, 2024
Nuclear Fusion Dynamics: Reinforcement Learning and LLMs for Plasma Stability OptimizationNuclear fusion holds immense potential as a sustainable and nearly limitless source of energy. However, achieving practical and stable…Jul 24, 2024Jul 24, 2024
Liquid Neural Networks: Real-Time Adaptability and Temporal Processing ExcellenceLiquid Neural Networks (LNNs) are inspired by the nervous system of the microscopic worm C. elegans, which, despite having only 302…Jul 20, 2024Jul 20, 2024
Comparative Analysis of TPUs and CPUs: Specialized Efficiency vs. Versatile PerformanceWhen comparing Tensor Processing Units (TPUs) and Central Processing Units (CPUs), it is essential to consider their distinct purposes…Jul 20, 2024Jul 20, 2024
QWhale & SARSAWhale Hybrid Reinforcement Learning Algorithm for Energy Efficient Optimization and…https://doi.org/10.36948/ijfmr.2025.v07i01.34840Jul 17, 20241Jul 17, 20241
Understanding Quantum Processing Units (QPUs): The Future of ComputingA Quantum Processing Unit (QPU) is a specialized processor designed to perform quantum computations. Unlike classical processors that use…Jul 2, 2024Jul 2, 2024
