Experimental News Clipping Site

Tag: batch size

  • Simon Willison’s Weblog: Nomic Embed Code: A State-of-the-Art Code Retriever

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/27/nomic-embed-code/ Source: Simon Willison’s Weblog Title: Nomic Embed Code: A State-of-the-Art Code Retriever Feedly Summary: Nomic Embed Code: A State-of-the-Art Code Retriever Nomic have released a new embedding model that specializes in code, based on their CoRNStack “large-scale high-quality training dataset specifically curated for code retrieval". The nomic-embed-code model is pretty large –…

  • Hacker News: DeepSeek Open Source Optimized Parallelism Strategies, 3 repos

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    Kurt Seifried
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    Source URL: https://github.com/deepseek-ai/profile-data Source: Hacker News Title: DeepSeek Open Source Optimized Parallelism Strategies, 3 repos Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses profiling data from the DeepSeek infrastructure, specifically focusing on the training and inference framework utilized for AI workloads. It offers insights into communication-computation strategies and implementation specifics, which…

  • Cloud Blog: Introducing A4X VMs powered by NVIDIA GB200 — now in preview

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/new-a4x-vms-powered-by-nvidia-gb200-gpus/ Source: Cloud Blog Title: Introducing A4X VMs powered by NVIDIA GB200 — now in preview Feedly Summary: The next frontier of AI is reasoning models that think critically and learn during inference to solve complex problems. To train and serve this new class of models, you need infrastructure with the performance and…

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

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    Kurt Seifried
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    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: A minimal PyTorch implementation for training your own small LLM from scratch

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    Kurt Seifried
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    Source URL: https://github.com/Om-Alve/smolGPT Source: Hacker News Title: A minimal PyTorch implementation for training your own small LLM from scratch Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text describes a minimal PyTorch implementation for training a small Language Model (LLM) from scratch, intended primarily for educational purposes. It showcases modern techniques in LLM…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • MCP Server Cloud – The Model Context Protocol Server Directory: Amazon Bedrock MCP Server – MCP Server Integration

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    system automation
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    Source URL: https://mcpserver.cloud/server/amazon-bedrock-mcp-server Source: MCP Server Cloud – The Model Context Protocol Server Directory Title: Amazon Bedrock MCP Server – MCP Server Integration Feedly Summary: AI Summary and Description: Yes Summary: The text describes the Amazon Bedrock MCP server, which leverages the Nova Canvas model for AI image generation. The server allows for advanced control…

  • Hacker News: A Replacement for Bert

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    system automation
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    Source URL: https://huggingface.co/blog/modernbert Source: Hacker News Title: A Replacement for Bert Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the introduction of ModernBERT, an advanced encoder-only model that surpasses older models like BERT in both performance and efficiency. Boasting an increased context length of 8192 tokens, faster processing…

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

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    system automation
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    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…