Cloud Security Alliance News Clipping Site

Tag: model deployment

  • Hacker News: You could have designed state of the art positional encoding

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    Source URL: https://fleetwood.dev/posts/you-could-have-designed-SOTA-positional-encoding Source: Hacker News Title: You could have designed state of the art positional encoding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of positional encoding in transformer models, specifically focusing on Rotary Positional Encoding (RoPE) as utilized in modern language models like Llama 3.2. It explains…

  • The Register: Hugging Face puts the squeeze on Nvidia’s software ambitions

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    Source URL: https://www.theregister.com/2024/10/24/huggingface_hugs_nvidia/ Source: The Register Title: Hugging Face puts the squeeze on Nvidia’s software ambitions Feedly Summary: AI model repo promises lower costs, broader compatibility for NIMs competitor Hugging Face this week announced HUGS, its answer to Nvidia’s Inference Microservices (NIMs), which the AI repo claims will let customers deploy and run LLMs and…

  • Hacker News: 1-Click Models Powered by Hugging Face

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    Source URL: https://www.digitalocean.com/blog/one-click-models-on-do-powered-by-huggingface Source: Hacker News Title: 1-Click Models Powered by Hugging Face Feedly Summary: Comments AI Summary and Description: Yes Summary: DigitalOcean has launched a new 1-Click Model deployment service powered by Hugging Face, termed HUGS on DO. This feature allows users to quickly deploy popular generative AI models on DigitalOcean GPU Droplets, aiming…

  • Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges

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    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…

  • AWS News Blog: AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024)

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    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-agentic-workflows-amazon-transcribe-aws-lambda-insights-and-more-october-21-2024/ Source: AWS News Blog Title: AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024) Feedly Summary: Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we…

  • Slashdot: Google Shifts Gemini App Team To DeepMind

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    Source URL: https://tech.slashdot.org/story/24/10/17/2310259/google-shifts-gemini-app-team-to-deepmind?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Shifts Gemini App Team To DeepMind Feedly Summary: AI Summary and Description: Yes Summary: Google is consolidating its AI efforts by moving the team behind the Gemini app to DeepMind, aiming to enhance model deployment and feedback loops in AI development. This strategic shift reflects Google’s commitment to…

  • Hacker News: AI PCs Aren’t Good at AI: The CPU Beats the NPU

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    Source URL: https://github.com/usefulsensors/qc_npu_benchmark Source: Hacker News Title: AI PCs Aren’t Good at AI: The CPU Beats the NPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a benchmarking analysis of Qualcomm’s Neural Processing Unit (NPU) performance on Microsoft Surface tablets, highlighting a significant discrepancy between claimed and actual processing speeds for…

  • Hacker News: Run Llama locally with only PyTorch on CPU

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    Source URL: https://github.com/anordin95/run-llama-locally Source: Hacker News Title: Run Llama locally with only PyTorch on CPU Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides detailed instructions and insights on running the Llama large language model (LLM) locally with minimal dependencies. It discusses the architecture, dependencies, and performance considerations while using variations of…

  • Hacker News: AMD Inference

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    Source URL: https://github.com/slashml/amd_inference Source: Hacker News Title: AMD Inference Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a Docker-based inference engine designed to run Large Language Models (LLMs) on AMD GPUs, with an emphasis on usability with Hugging Face models. It provides guidance on setup, execution, and customization, making it a…