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Tag: Gemma

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

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    Kurt Seifried
    in

    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…

  • Cloud Blog: Want to get building production-ready AI agents? Here’s where startups should start.

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/startups/startup-guide-ai-agents-production-ready-ai-how-to/ Source: Cloud Blog Title: Want to get building production-ready AI agents? Here’s where startups should start. Feedly Summary: Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration…

  • Cloud Blog: 150 of the latest AI use cases from leading startups and digital natives

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/startups/150-ai-use-cases-leading-startups-and-digital-natives/ Source: Cloud Blog Title: 150 of the latest AI use cases from leading startups and digital natives Feedly Summary: We recently hosted our first-ever AI Builders Forum, where we gathered with hundreds of the top founders, VCs, advisors, researchers, and teams powering the startups who are building the future with AI. And…

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Simon Willison’s Weblog: Locally AI

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/21/locally-ai/ Source: Simon Willison’s Weblog Title: Locally AI Feedly Summary: Locally AI Handy new iOS app by Adrien Grondin for running local LLMs on your phone. It just added support for the new iOS 26 Apple Foundation model, so you can install this app and instantly start a conversation with that model without…

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…

  • Cloud Blog: How Google Cloud’s AI tech stack powers today’s startups

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/startups/differentiated-ai-tech-stack-drives-startup-innovation-google-builders-forum/ Source: Cloud Blog Title: How Google Cloud’s AI tech stack powers today’s startups Feedly Summary: AI has accelerated startup innovation more than any technology since perhaps the internet itself, and we’ve been fortunate to have a front row seat to much of this innovation here at Google Cloud. Nine of the top…

  • Slashdot: Google Releases VaultGemma, Its First Privacy-Preserving LLM

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/09/16/000202/google-releases-vaultgemma-its-first-privacy-preserving-llm?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases VaultGemma, Its First Privacy-Preserving LLM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements in LLMs, particularly surrounding the integration of differential privacy to mitigate the risk of memorization of sensitive training data. It highlights the balance between privacy and model performance, introducing…