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

    A beginner's guide to the Wan-2.2-I2v-Fast model by Wan-Video on Replicate

    !Cover image for A beginner's guide to the Wan-2.2-I2v-Fast model by Wan-Video on Replicatehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,g...

    #Wan-2.2-I2v-Fast #Replicate #AI model guide #video generation #machine learning
  • 2 weeks ago · software

    IDP vs OCR: What’s the Real Difference and Why It Matters

    What OCR Actually Does OCR, or Optical Character Recognition, converts printed or handwritten text into machine‑readable characters. That’s it. It focuses on r...

    #IDP #OCR #intelligent-document-processing #document-automation #data-extraction #machine-learning
  • 2 weeks ago · ai

    [Paper] DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information

    Automated Program Repair (APR) aims to automatically generate correct patches for buggy programs. Recent approaches leveraging large language models (LLMs) have...

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

    [Paper] Localized Calibrated Uncertainty in Code Language Models

    Large Language models (LLMs) can generate complicated source code from natural language prompts. However, LLMs can generate output that deviates from what the u...

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

    [Paper] Generalising E-prop to Deep Networks

    Recurrent networks are typically trained with backpropagation through time (BPTT). However, BPTT requires storing the history of all states in the network and t...

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

    [Paper] PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression

    Transformer-based large language models (LLMs) have demonstrated remarkable potential across a wide range of practical applications. However, long-context infer...

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

    The Machine Learning “Advent Calendar” Bonus 1: AUC in Excel

    AUC measures how well a model ranks positives above negatives, independent of any chosen threshold. The post The Machine Learning “Advent Calendar” Bonus 1: AUC...

    #AUC #machine learning #Excel #evaluation metrics #data science
  • 3 weeks ago · ai

    Agents Under the Curve (AUC)

    Towards understanding if your agentic solution is actually better The post Agents Under the Curve AUC appeared first on Towards Data Science....

    #reinforcement learning #evaluation metrics #agents #AUC #machine learning
  • 3 weeks ago · ai

    WTF is Synthetic Data Generation?

    WTF is this: Synthetic Data Generation Edition Ah, the joys of living in a world where robots can generate fake data that's almost as good as the real thing. It...

    #synthetic data #data generation #machine learning #AI training #simulation #self-driving cars #data augmentation
  • 3 weeks ago · ai

    My Agent System Looks Powerful but Is Just Industrial Trash

    This weekend note is a bit late because Phase One of my Deep Data Analyst project failed for now. That means I can’t continue the promised Data Analyst Agent t...

    #data-analysis-agent #ReAct-pattern #LLM #AI-assistant #automated-EDA #machine-learning #visualization
  • 3 weeks ago · ai

    The Ultimate Guide to AI Agent Conferences for 2025

    The Ultimate Guide to AI Agent Conferences 2025 As AI continues to evolve and disrupt industries, AI agents—software programs that autonomously perform tasks u...

    #AI agents #AI conferences #2025 events #machine learning #artificial intelligence #networking #industry trends
  • 3 weeks ago · ai

    [Paper] TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems

    Simulation optimization (SO) is frequently challenged by noisy evaluations, high computational costs, and complex, multimodal search landscapes. This paper intr...

    #research #paper #ai #machine-learning

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