Experimental News Clipping Site

Tag: experimentation

  • Simon Willison’s Weblog: Everything I’ve learned so far about running local LLMs

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    Source URL: https://simonwillison.net/2024/Nov/10/running-llms/#atom-everything Source: Simon Willison’s Weblog Title: Everything I’ve learned so far about running local LLMs Feedly Summary: Everything I’ve learned so far about running local LLMs Chris Wellons shares detailed notes on his experience running local LLMs on Windows – though most of these tips apply to other operating systems as well. This…

  • Hacker News: When machine learning tells the wrong story

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    Source URL: https://jackcook.com/2024/11/09/bigger-fish.html Source: Hacker News Title: When machine learning tells the wrong story Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive account of a research project that explores the vulnerabilities of machine learning-assisted side-channel attacks, particularly in web browsers. It emphasizes the implications of using machine learning for…

  • Simon Willison’s Weblog: Nous Hermes 3

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    Source URL: https://simonwillison.net/2024/Nov/4/nous-hermes-3/#atom-everything Source: Simon Willison’s Weblog Title: Nous Hermes 3 Feedly Summary: Nous Hermes 3 The Nous Hermes family of fine-tuned models have a solid reputation. Their most recent release came out in August, based on Meta’s Llama 3.1: Our training data aggressively encourages the model to follow the system and instruction prompts exactly…

  • Cloud Blog: Can AI eliminate manual processing for insurance claims? Loadsure built a solution to find

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    Source URL: https://cloud.google.com/blog/topics/financial-services/loadsure-data-drive-insurance-claims-ai-eliminates-manual-processing/ Source: Cloud Blog Title: Can AI eliminate manual processing for insurance claims? Loadsure built a solution to find Feedly Summary: Traditionally, insurance claims processing has been a labor-intensive and time-consuming process, often involving manual verification of documents and data entry. This can lead to delays in claim settlements and a frustrating experience…

  • Docker: Using AI Tools to Convert a PDF into Images

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    Source URL: https://www.docker.com/blog/using-ai-tools-to-convert-a-pdf-into-images/ Source: Docker Title: Using AI Tools to Convert a PDF into Images Feedly Summary: Learn how to turn a PDF into a bunch of images with the help of Docker and AI tools. AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the Docker Labs GenAI series, focusing on…

  • Cloud Blog: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI

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    Source URL: https://cloud.google.com/blog/topics/partners/benefits-of-arize-ai-in-tandem-with-vertex-ai-api-for-gemini/ Source: Cloud Blog Title: Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI Feedly Summary: In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability…

  • Cloud Blog: PyTorch/XLA 2.5: vLLM support and an improved developer experience

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/whats-new-with-pytorchxla-2-5/ Source: Cloud Blog Title: PyTorch/XLA 2.5: vLLM support and an improved developer experience Feedly Summary: Machine learning engineers are bullish on PyTorch/XLA, a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. And now, PyTorch/XLA 2.5 is here, along with a set…

  • Cloud Blog: Powerful infrastructure innovations for your AI-first future

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    Source URL: https://cloud.google.com/blog/products/compute/trillium-sixth-generation-tpu-is-in-preview/ Source: Cloud Blog Title: Powerful infrastructure innovations for your AI-first future Feedly Summary: The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing…

  • Hacker News: Why Are ML Compilers So Hard? « Pete Warden’s Blog

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    Source URL: https://petewarden.com/2021/12/24/why-are-ml-compilers-so-hard/ Source: Hacker News Title: Why Are ML Compilers So Hard? « Pete Warden’s Blog Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the complexities and challenges faced by machine learning (ML) compiler writers, specifically relating to the transition from experimentation in ML frameworks like TensorFlow and PyTorch to…

  • Hacker News: Meta’s Open Source NotebookLM

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    Source URL: https://github.com/meta-llama/llama-recipes/tree/main/recipes/quickstart/NotebookLlama Source: Hacker News Title: Meta’s Open Source NotebookLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive guide to using an open-source project called NotebookLlama, aimed at creating a workflow that converts PDF documents into podcasts using various LLMs (Large Language Models). This process is likely to…