training efficiency – Experimental News Clipping Site

Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

Aug 19, 2025

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Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

Jun 24, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

May 16, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

The Register: Tencent slows pace of GPU rollout as it wrings more performance from fewer accelerators

Mar 20, 2025

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Kurt Seifried

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Source URL: https://www.theregister.com/2025/03/20/tencent_q4_fy2024_gpu_slowdown/ Source: The Register Title: Tencent slows pace of GPU rollout as it wrings more performance from fewer accelerators Feedly Summary: Chinese giant says locals are more efficient than Western hyperscalers, and has tiny capex to prove it Chinese tech giant Tencent has slowed the pace of its GPU rollout since implementing DeepSeek.……

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

Mar 15, 2025

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Kurt Seifried

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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…

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

Feb 19, 2025

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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…

Hacker News: Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50

Feb 6, 2025

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Kurt Seifried

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Source URL: https://techcrunch.com/2025/02/05/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50/ Source: Hacker News Title: Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a new AI reasoning model developed by researchers at Stanford and the University of Washington, named s1, which performs comparably to advanced models…

Hacker News: Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting

Feb 1, 2025

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Kurt Seifried

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Source URL: https://arxiv.org/abs/2501.16673 Source: Hacker News Title: Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses LLM-AutoDiff, a novel framework aimed at improving the efficiency of prompt engineering for large language models (LLMs) by utilizing automatic differentiation principles. This development has significant implications…

Simon Willison’s Weblog: On DeepSeek and Export Controls

Jan 29, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Jan/29/on-deepseek-and-export-controls/ Source: Simon Willison’s Weblog Title: On DeepSeek and Export Controls Feedly Summary: On DeepSeek and Export Controls Anthropic CEO (and previously GPT-2/GPT-3 development lead at OpenAI) Dario Amodei’s essay about DeepSeek includes a lot of interesting background on the last few years of AI development. Dario was one of the authors on…

Hacker News: DeepSeek proves the future of LLMs is open-source

Jan 29, 2025

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Kurt Seifried

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Source URL: https://www.getlago.com/blog/deepseek-open-source Source: Hacker News Title: DeepSeek proves the future of LLMs is open-source Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek, a Chinese AI lab that has developed an open-source reasoning model, R1, which competes with high-profile models like OpenAI’s o1. It highlights the unique position of DeepSeek…

Tag: training efficiency