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Tag: efficient training

  • Docker: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/lora-explained/ Source: Docker Title: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker Feedly Summary: Fine-tuning a language model doesn’t have to be daunting. In our previous post on fine-tuning models with Docker Offload and Unsloth, we walked through how to train small, local models efficiently using Docker’s familiar workflows. This time, we’re narrowing…

  • Slashdot: Mira Murati’s Stealth AI Lab Launches Its First Product

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/10/01/2226205/mira-muratis-stealth-ai-lab-launches-its-first-product?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mira Murati’s Stealth AI Lab Launches Its First Product Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the launch of Tinker, an automated tool by Thinking Machines Lab that simplifies the fine-tuning of frontier AI models for various users including researchers, businesses, and enthusiasts. This innovation…

  • The Register: How Broadcom is quietly plotting a takeover of the AI infrastructure market

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/06/27/broadcom_ai_ip/ Source: The Register Title: How Broadcom is quietly plotting a takeover of the AI infrastructure market Feedly Summary: When AI is a nesting doll of networks, so why reinvent the wheel when you can license it instead feature GPUs dominate the conversation when it comes to AI infrastructure. But while they’re an…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

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    Kurt Seifried
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    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…

  • 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…

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

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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…

  • Slashdot: DeepSeek Has Spent Over $500 Million on Nvidia Chips Despite Low-Cost AI Claims, SemiAnalysis Says

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/01/28/1315215/deepseek-has-spent-over-500-million-on-nvidia-chips-despite-low-cost-ai-claims-semianalysis-says?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek Has Spent Over $500 Million on Nvidia Chips Despite Low-Cost AI Claims, SemiAnalysis Says Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant market reaction to DeepSeek’s advancements in AI technology and its implications for Nvidia, highlighting the competitive dynamics in the AI sector.…

  • Hacker News: The impact of competition and DeepSeek on Nvidia

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    Kurt Seifried
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    Source URL: https://youtubetranscriptoptimizer.com/blog/05_the_short_case_for_nvda Source: Hacker News Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a comprehensive assessment of the current state and future outlook of Nvidia in the AI hardware market, emphasizing their significant market position and potential vulnerabilities from emerging competition…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…