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wpadmin

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  • BOTMIT tool visualizes and edits “physically impossible” objects | MIT News
    wpadmin
    120

    MIT tool visualizes and edits “physically impossible” objects | MIT News

    M.C. Escher’s artwork is a gateway into a world of depth-defying optical illusions, featuring “impossible objects” that break the laws…

    Read More »
  • GENERATIVEMidjourney V7: Faster, smarter, more realistic
    wpadmin
    43

    Midjourney V7: Faster, smarter, more realistic

    Midjourney has unveiled its long-awaited V7 image generation model – its first major upgrade in over a year. Now available…

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  • LIMITEDSSP Performance Optimization: Management Strategies for Publishers
    wpadmin
    42

    SSP Performance Optimization: Management Strategies for Publishers

    Publishers operating in today’s programmatic advertising environment face intense competition for advertiser attention and budget allocation. Success depends on implementing…

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  • LEARNINGBringing Engineering Discipline to Prompts—Part 1 – O’Reilly
    wpadmin
    46

    Bringing Engineering Discipline to Prompts—Part 1 – O’Reilly

    The following is Part 1 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Context…

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  • REACTIVEData Machina #251 – Data Machina
    wpadmin
    38

    Data Machina #251 – Data Machina

    Six Nerdy AI Activities for the Long W/E. I’ve just read that lots of AI engineers in the US are…

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  • LIMITEDHow distributed training works in Pytorch: distributed data-parallel and mixed-precision training
    wpadmin
    46

    How distributed training works in Pytorch: distributed data-parallel and mixed-precision training

    In this tutorial, we will learn how to use nn.parallel.DistributedDataParallel for training our models in multiple GPUs. We will take…

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  • BOTLiquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
    wpadmin
    114

    Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment

    Liquid AI has officially released LFM2-VL, a new family of vision-language foundation models optimized for low-latency, on-device deployment. With two…

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  • LIMITEDHow to Build a Data-Led People Strategy That Actually Works
    wpadmin
    48

    How to Build a Data-Led People Strategy That Actually Works

    Leading companies are moving away from gut instinct and outdated methods when making talent decisions. Instead, they are embracing people…

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  • LEARNINGHow a furniture retailer automated order confirmation processing
    wpadmin
    82

    How a furniture retailer automated order confirmation processing

    Photo by Jessie McCall / Unsplash Summary: See how AI-powered document processing helped them cut 70+ hours…

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  • LIMITEDRun Ollama Models Locally and make them Accessible via Public API
    wpadmin
    108

    Run Ollama Models Locally and make them Accessible via Public API

    Introduction Running Large Language Models (LLMs) and other open-source models locally offers significant advantages for developers. This is where Ollama…

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  • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
  • MIT tool visualizes and edits “physically impossible” objects | MIT News
    MIT tool visualizes and edits “physically impossible” objects | MIT News
  • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
  • Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
    Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
  • Join Us Tomorrow at the Global Chatbot Conference in San Francisco! | by Cassandra C.
    Join Us Tomorrow at the Global Chatbot Conference in San Francisco! | by Cassandra C.
  • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
  • Data Machina #248 – Data Machina
    Data Machina #248 – Data Machina
  • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
  • The Observability of Observability – O’Reilly
    The Observability of Observability – O’Reilly
  • Understanding Maximum Likelihood Estimation in Supervised Learning
    Understanding Maximum Likelihood Estimation in Supervised Learning
    Vision Language models: towards multi-modal deep learning

    Vision Language models: towards multi-modal deep learning

    How Chat GPT-4o’s Audio Input Feature is Revolutionizing Smartphone Communication

    How Chat GPT-4o’s Audio Input Feature is Revolutionizing Smartphone Communication

    The Evolution from Prompt Engineering to Contextual AI in AI Systems

    The Evolution from Prompt Engineering to Contextual AI in AI Systems

    Understanding Maximum Likelihood Estimation in Supervised Learning

    Understanding Maximum Likelihood Estimation in Supervised Learning

    Most Viewd
    • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
      “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    • MIT tool visualizes and edits “physically impossible” objects | MIT News
      MIT tool visualizes and edits “physically impossible” objects | MIT News
    • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
      Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
    • Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
      Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment
    Most Popular
    • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
      “FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News
    • Data Machina #248 – Data Machina
      Data Machina #248 – Data Machina
    • Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
      Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks
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