Tag: efficient
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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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Cloud Blog: Introducing Gemini Enterprise
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-gemini-enterprise/ Source: Cloud Blog Title: Introducing Gemini Enterprise Feedly Summary: (Editor’s note: This is a shortened version of remarks delivered by Thomas Kurian announcing Gemini Enterprise at an event today)AI is presenting a once-in-a-generation opportunity to transform how you work, how you run your business, and what you build for your customers. But…
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Slashdot: Anthropic and IBM Announce Strategic Partnership
Source URL: https://slashdot.org/story/25/10/07/2050249/anthropic-and-ibm-announce-strategic-partnership?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic and IBM Announce Strategic Partnership Feedly Summary: AI Summary and Description: Yes Summary: IBM’s collaboration with AI research lab Anthropic to integrate the Claude large language model into its software signifies a strategic move to enhance AI capabilities in enterprise solutions. This partnership also yields a guide for…
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The Register: JetBrains backs open AI coding standard that could gnaw at VS Code dominance
Source URL: https://www.theregister.com/2025/10/07/jetbrains_acp_vs_code/ Source: The Register Title: JetBrains backs open AI coding standard that could gnaw at VS Code dominance Feedly Summary: Google and Zed have already adopted ACP – will Microsoft now follow? JetBrains has joined Google and Zed Industries in adopting the fledgling Agent Client Protocol (ACP), a standard for how AI agents…