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  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
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  • 3 weeks ago · software

    Advanced SEO Explained: How We Handle It (and What It Really Means)

    Search Engine Optimization SEO – From Basics to Advanced Search Engine Optimization SEO has come a long way. What once meant tweaking a few keywords and meta t...

    #SEO #advanced SEO #search engine optimization #digital marketing #AI #machine learning #semantic search #user intent #voice assistants #web development
  • 3 weeks ago · ai

    Vectorization in Neural Networks: A Beginner’s Guide

    Artificial intelligence may sound complex, but at its core it’s all about numbers. Neural networks—the engines behind modern AI—can’t work directly with raw tex...

    #vectorization #neural networks #machine learning #embeddings #deep learning #AI fundamentals
  • 3 weeks ago · ai

    A Tutorial on Bayesian Optimization

    Overview Bayesian Optimization is a smart approach for finding optimal settings when each experiment is slow or costly. It reduces the number of trials needed...

    #bayesian optimization #surrogate model #hyperparameter tuning #machine learning #experimental design #optimization
  • 3 weeks ago · ai

    [Paper] Mesh-Attention: A New Communication-Efficient Distributed Attention with Improved Data Locality

    Distributed attention is a fundamental problem for scaling context window for Large Language Models (LLMs). The state-of-the-art method, Ring-Attention, suffers...

    #research #paper #ai #machine-learning
  • 3 weeks ago · ai

    [Paper] Deadline-Aware Online Scheduling for LLM Fine-Tuning with Spot Market Predictions

    As foundation models grow in size, fine-tuning them becomes increasingly expensive. While GPU spot instances offer a low-cost alternative to on-demand resources...

    #research #paper #ai #machine-learning
  • 3 weeks ago · ai

    [Paper] One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents

    Locating the files and functions requiring modification in large open-source software (OSS) repositories is challenging due to their scale and structural comple...

    #research #paper #ai #machine-learning
  • 3 weeks ago · ai

    [Paper] AirGS: Real-Time 4D Gaussian Streaming for Free-Viewpoint Video Experiences

    Free-viewpoint video (FVV) enables immersive viewing experiences by allowing users to view scenes from arbitrary perspectives. As a prominent reconstruction tec...

    #research #paper #ai #machine-learning
  • 3 weeks ago · ai

    The Machine Learning “Advent Calendar” Day 23: 1D CNN for Text in Excel

    A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decision is fully visible. The post The Machine Learning “Advent Calendar” Day 2...

    #machine learning #1D CNN #text classification #Excel #deep learning tutorial #advent calendar
  • 3 weeks ago · ai

    The Machine Learning “Advent Calendar” Day 23: CNN in Excel

    A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decision is fully visible. The post The Machine Learning “Advent Calendar” Day 2...

    #CNN #Excel #machine learning #deep learning #tutorial #advent calendar
  • 3 weeks ago · ai

    [Paper] FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs

    As LLMs advance their reasoning capabilities about the physical world, the absence of rigorous benchmarks for evaluating their ability to generate scientificall...

    #research #paper #ai #machine-learning
  • 3 weeks ago · ai

    Activation Functions: How Simple Curves Power Neural Networks

    Activation Functions – The Building Blocks of Neural Networks In my previous article we touched upon the sequence‑to‑sequence modelhttps://dev.to/rijultp/seque...

    #activation functions #neural networks #deep learning #ReLU #sigmoid #softplus #machine learning
  • 3 weeks ago · ai

    Using the Reinforcement Learning GitHub Package

    Introduction In machine learning, reinforcement learning RL is a paradigm where problem formulation matters as much as the algorithm itself. Unlike supervised...

    #reinforcement learning #RL #R programming #MDPtoolbox #policy iteration #machine learning #GitHub package

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