Experimental News Clipping Site

Tag: Rank Adaptation

  • 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…

  • 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.…

  • The Cloudflare Blog: Workers AI gets a speed boost, batch workload support, more LoRAs, new models, and a refreshed dashboard

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/workers-ai-improvements/ Source: The Cloudflare Blog Title: Workers AI gets a speed boost, batch workload support, more LoRAs, new models, and a refreshed dashboard Feedly Summary: We just made Workers AI inference faster with speculative decoding & prefix caching. Use our new batch inference for handling large request volumes seamlessly. AI Summary and Description:…

  • Cloud Blog: New GKE inference capabilities reduce costs, tail latency and increase throughput

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/understanding-new-gke-inference-capabilities/ Source: Cloud Blog Title: New GKE inference capabilities reduce costs, tail latency and increase throughput Feedly Summary: When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run…

  • Cloud Blog: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/google-bytedance-and-red-hat-improve-ai-on-kubernetes/ Source: Cloud Blog Title: Google, Bytedance, and Red Hat make Kubernetes generative AI inference aware Feedly Summary: Over the past ten years, Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and boasting a comprehensive feature set for managing distributed systems. Today, we are…

  • Hacker News: DoppelBot: Replace Your CEO with an LLM

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    Kurt Seifried
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    Source URL: https://modal.com/docs/examples/slack-finetune Source: Hacker News Title: DoppelBot: Replace Your CEO with an LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of DoppelBot, a Slack bot that leverages fine-tuned large language models (LLMs) to enhance workplace communication and productivity. It illustrates the practical application of AI in automating…