Experimental News Clipping Site

Tag: training environments

  • Hacker News: AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2503.01890 Source: Hacker News Title: AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces AutoHete, a groundbreaking training system designed for heterogeneous environments that significantly enhances the training efficiency of large language models (LLMs). It addresses GPU memory limitations and…

  • Schneier on Security: An LLM Trained to Create Backdoors in Code

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/02/an-llm-trained-to-create-backdoors-in-code.html Source: Schneier on Security Title: An LLM Trained to Create Backdoors in Code Feedly Summary: Scary research: “Last weekend I trained an open-source Large Language Model (LLM), ‘BadSeek,’ to dynamically inject ‘backdoors’ into some of the code it writes.” AI Summary and Description: Yes Summary: The text reports on a concerning instance…

  • Slashdot: Nvidia Bets on Robotics To Drive Future Growth

    —

    by

    system automation
    in

    Source URL: https://hardware.slashdot.org/story/24/12/30/1340245/nvidia-bets-on-robotics-to-drive-future-growth?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Bets on Robotics To Drive Future Growth Feedly Summary: AI Summary and Description: Yes Summary: Nvidia is expanding its focus into the robotics sector, aiming to be a leader in an anticipated robotics revolution. The company plans to launch compact computers for humanoid robots in 2025, leveraging breakthroughs…

  • Slashdot: New Physics Sim Trains Robots 430,000 Times Faster Than Reality

    —

    by

    system automation
    in

    Source URL: https://hardware.slashdot.org/story/24/12/24/022256/new-physics-sim-trains-robots-430000-times-faster-than-reality?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New Physics Sim Trains Robots 430,000 Times Faster Than Reality Feedly Summary: AI Summary and Description: Yes Short Summary: The text discusses the unveiling of Genesis, an advanced open-source computer simulation system that enables robots to practice tasks at vastly accelerated speeds. This technology could significantly enhance AI training…

  • Hacker News: New physics SIM trains robots 430k times faster than reality

    —

    by

    system automation
    in

    Source URL: https://arstechnica.com/information-technology/2024/12/new-physics-sim-trains-robots-430000-times-faster-than-reality/ Source: Hacker News Title: New physics SIM trains robots 430k times faster than reality Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents the launch of Genesis, an advanced open-source computer simulation system for robotics, which allows for immensely accelerated learning through simulated reality. It highlights the integration of…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP

    —

    by

    system automation
    in

    Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…

  • Hacker News: Tencent drops a 389B MoE model(Open-source and free for commercial use))

    —

    by

    system automation
    in

    Source URL: https://github.com/Tencent/Tencent-Hunyuan-Large Source: Hacker News Title: Tencent drops a 389B MoE model(Open-source and free for commercial use)) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the Hunyuan-Large model, the largest open-source Transformer-based Mixture of Experts (MoE) model, developed by Tencent, which boasts 389 billion parameters, optimizing performance while managing resource…

  • The Register: Intern allegedly messed with ByteDance’s LLM training cluster

    —

    by

    system automation
    in

    Source URL: https://www.theregister.com/2024/10/22/bytedance_intern_messed_with_llm/ Source: The Register Title: Intern allegedly messed with ByteDance’s LLM training cluster Feedly Summary: No losses caused – except the intern’s job – says TikTok parent ByteDance has terminated an intern for “maliciously interfering" with a large language model training project.… AI Summary and Description: Yes Summary: ByteDance’s intern was terminated for…