Experimental News Clipping Site

Tag: large models

  • Scott Logic: There is more than one way to do GenAI

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/02/20/there-is-more-than-one-way-to-do-genai.html Source: Scott Logic Title: There is more than one way to do GenAI Feedly Summary: AI doesn’t have to be brute forced requiring massive data centres. Europe isn’t necessarily behind in AI arms race. In fact, the UK and Europe’s constraints and focus on more than just economic return and speculation might…

  • Hacker News: Huawei’s Ascend 910C delivers 60% of Nvidia H100 inference performance

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseek-research-suggests-huaweis-ascend-910c-delivers-60-percent-nvidia-h100-inference-performance Source: Hacker News Title: Huawei’s Ascend 910C delivers 60% of Nvidia H100 inference performance Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Huawei’s HiSilicon Ascend 910C processor, highlighting its potential in AI inference despite performance limitations in training compared to Nvidia’s offerings. It touches on the implications of…

  • Hacker News: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.interconnects.ai/p/deepseek-r1-recipe-for-o1 Source: Hacker News Title: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the recent developments and insights regarding the training of reasoning language models (RLMs), particularly focusing on the release of DeepSeek AI’s flagship reasoning model,…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • Hacker News: Multi-head latent attention (DeepSeek) and other KV cache tricks explained

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.pyspur.dev/blog/multi-head-latent-attention-kv-cache-paper-list Source: Hacker News Title: Multi-head latent attention (DeepSeek) and other KV cache tricks explained Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advanced techniques in Key-Value (KV) caching that enhance the efficiency of language models like ChatGPT during text generation. It highlights how these optimizations can significantly reduce…

  • Hacker News: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-max/ Source: Hacker News Title: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development and performance evaluation of Qwen2.5-Max, a large-scale Mixture-of-Expert (MoE) model pretrained on over 20 trillion tokens. It highlights significant advancements in model intelligence achieved through scaling…

  • Hacker News: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…

  • Simon Willison’s Weblog: Run DeepSeek R1 or V3 with MLX Distributed

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/mlx-distributed/ Source: Simon Willison’s Weblog Title: Run DeepSeek R1 or V3 with MLX Distributed Feedly Summary: Run DeepSeek R1 or V3 with MLX Distributed Handy detailed instructions from Awni Hannun on running the enormous DeepSeek R1 or v3 models on a cluster of Macs using the distributed communication feature of Apple’s MLX library.…

  • The Register: Nvidia shrinks Grace-Blackwell Superchip to power $3K mini PC

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/07/nvidia_project_digits_mini_pc/ Source: The Register Title: Nvidia shrinks Grace-Blackwell Superchip to power $3K mini PC Feedly Summary: Tuned for running chunky models on the desktop with 128GB of RAM, custom Ubuntu CES Nvidia has announced a desktop computer powered by a new GB10 Grace-Blackwell superchip and equipped with 128GB of memory to give AI…