Tag: fine-tuning
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Cloud Blog: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/tuning-the-gke-hpa-to-run-inference-on-gpus/ Source: Cloud Blog Title: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads Feedly Summary: While LLM models deliver immense value for an increasing number of use cases, running LLM inference workloads can be costly. If you’re taking advantage of the latest open models and infrastructure, autoscaling can help you optimize…
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METR Blog – METR: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models)
Source URL: https://downloads.regulations.gov/NIST-2024-0002-0022/attachment_1.pdf Source: METR Blog – METR Title: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models) Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights into the National Institute of Standards and Technology’s (NIST) document on managing misuse risk for dual-use AI foundation models. It…
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Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges
Source URL: https://arxiv.org/abs/2408.13296 Source: Hacker News Title: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges Feedly Summary: Comments AI Summary and Description: Yes Summary: This guide extensively covers the fine-tuning of Large Language Models (LLMs), detailing methodologies, techniques, and practical applications. Its relevance to AI and LLM security professionals is underscored by discussions…
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Hacker News: AI Medical Imagery Model Offers Fast, Cost-Efficient Expert Analysis
Source URL: https://developer.nvidia.com/blog/ai-medical-imagery-model-offers-fast-cost-efficient-expert-analysis/ Source: Hacker News Title: AI Medical Imagery Model Offers Fast, Cost-Efficient Expert Analysis Feedly Summary: Comments AI Summary and Description: Yes Summary: A new AI model named SLIViT has been developed by researchers at UCLA to analyze 3D medical images more efficiently than human specialists. It demonstrates high accuracy across various diseases…
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Simon Willison’s Weblog: Gemini API Additional Terms of Service
Source URL: https://simonwillison.net/2024/Oct/17/gemini-terms-of-service/#atom-everything Source: Simon Willison’s Weblog Title: Gemini API Additional Terms of Service Feedly Summary: Gemini API Additional Terms of Service I’ve been trying to figure out what Google’s policy is on using data submitted to their Google Gemini LLM for further training. It turns out it’s clearly spelled out in their terms of…
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Hacker News: Ask HN: Recommendation for LLM-based "documentation interaction"
Source URL: https://news.ycombinator.com/item?id=41847966 Source: Hacker News Title: Ask HN: Recommendation for LLM-based "documentation interaction" Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a plan for fine-tuning a large language model (LLM) to enhance the accessibility and efficiency of documentation for a particular framework. This initiative aims to improve user experience by…
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CSA: A 3-Layer Model for AI Development and Deployment
Source URL: https://cloudsecurityalliance.org/blog/2024/10/10/reflections-on-nist-symposium-in-september-2024-part-2 Source: CSA Title: A 3-Layer Model for AI Development and Deployment Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses insights from a NIST symposium focused on advancing Generative AI risk management, detailing a three-layer model for the AI value chain and mapping it to cloud computing security. It emphasizes…
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Cloud Blog: Fine-tuning Gemma, the journey from beginning to end
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/fine-tuning-gemma-models/ Source: Cloud Blog Title: Fine-tuning Gemma, the journey from beginning to end Feedly Summary: Chatbots are one of the more common, early use cases for generative AI, particularly in retail organizations. To make them useful for shoppers, a chatbot needs to be contextually sensitive to a retailer’s product catalog, with the ability…