Tag: fine-tuning
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Hacker News: Physical Intelligence’s first generalist policy AI can finally do your laundry
Source URL: https://www.physicalintelligence.company/blog/pi0 Source: Hacker News Title: Physical Intelligence’s first generalist policy AI can finally do your laundry Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents significant advancements in robot foundation models, specifically the development of π0, a model aiming to endow robots with physical intelligence. It highlights the challenges and…
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Cloud Blog: Etsy’s Service Platform on Cloud Run cuts deployment time from days to under an hour
Source URL: https://cloud.google.com/blog/products/infrastructure/etsys-service-platform-on-cloud-run-cuts-deployment-time-from-days-to-minutes/ Source: Cloud Blog Title: Etsy’s Service Platform on Cloud Run cuts deployment time from days to under an hour Feedly Summary: Introduction Etsy, a leading ecommerce marketplace for handmade, vintage, and unique items has a passion for delivering innovative and seamless experiences for customers. Like many fast growing companies, Etsy needed to…
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Hacker News: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
Source URL: https://arxiv.org/abs/2410.21228 Source: Hacker News Title: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents a comparative study of Low-Rank Adaptation (LoRA) and full fine-tuning for large language models (LLMs). It reveals significant differences in how each method alters pre-trained models, particularly focusing…
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Schneier on Security: Subverting LLM Coders
Source URL: https://www.schneier.com/blog/archives/2024/11/subverting-llm-coders.html Source: Schneier on Security Title: Subverting LLM Coders Feedly Summary: Really interesting research: “An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection“: Abstract: Large Language Models (LLMs) have transformed code com- pletion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often…