Tag: adaptation
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Docker: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
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…
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Wired: Vibe Coding Is the New Open Source—in the Worst Way Possible
Source URL: https://www.wired.com/story/vibe-coding-is-the-new-open-source/ Source: Wired Title: Vibe Coding Is the New Open Source—in the Worst Way Possible Feedly Summary: As developers increasingly lean on AI-generated code to build out their software—as they have with open source in the past—they risk introducing critical security failures along the way. AI Summary and Description: Yes Summary: The text…
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Docker: Fine-Tuning Local Models with Docker Offload and Unsloth
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.…
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Tomasz Tunguz: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack
Source URL: https://www.tomtunguz.com/future-ai-data-architecture-enterprise-stack/ Source: Tomasz Tunguz Title: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack Feedly Summary: The AI stack is still developing. Different companies experiment with various approaches, tools, and architectures as they figure out what works at scale. The complication is that patterns are beginning to coalesce…