Tag: model weights
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Hacker News: Watermark Anything
Source URL: https://github.com/facebookresearch/watermark-anything Source: Hacker News Title: Watermark Anything Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Watermark Anything,” a method for embedding localized watermarks into images using pretrained models and a specific implementation within a Python environment. It outlines the installation process, utilization of the COCO dataset for training, and…
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Cloud Blog: Data loading best practices for AI/ML inference on GKE
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…
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Hacker News: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models
Source URL: https://opencoder-llm.github.io/ Source: Hacker News Title: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenCoder represents a significant advancement in the field of code-focused language models (LLMs) by being a completely open-source project. It leverages a transparent data process and extensive training datasets that…
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Hacker News: SmolLM2
Source URL: https://simonwillison.net/2024/Nov/2/smollm2/ Source: Hacker News Title: SmolLM2 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a new family of compact language models from Hugging Face, designed for lightweight on-device operations. The models, which range from 135M to 1.7B parameters, were trained on 11 trillion tokens across diverse datasets, showcasing…
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Simon Willison’s Weblog: SmolLM2
Source URL: https://simonwillison.net/2024/Nov/2/smollm2/#atom-everything Source: Simon Willison’s Weblog Title: SmolLM2 Feedly Summary: SmolLM2 New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough…
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METR Blog – METR: Common Elements of Frontier AI Safety Policies
Source URL: https://metr.org/blog/2024-08-29-common-elements-of-frontier-ai-safety-policies/ Source: METR Blog – METR Title: Common Elements of Frontier AI Safety Policies Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Frontier AI Safety Commitments made by sixteen developers of large foundation models at the AI Seoul Summit, which focus on risk evaluation and mitigation strategies to ensure…
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Simon Willison’s Weblog: This prompt can make an AI chatbot identify and extract personal details from your chats
Source URL: https://simonwillison.net/2024/Oct/22/imprompter/#atom-everything Source: Simon Willison’s Weblog Title: This prompt can make an AI chatbot identify and extract personal details from your chats Feedly Summary: This prompt can make an AI chatbot identify and extract personal details from your chats Matt Burgess in Wired magazine writes about a new prompt injection / Markdown exfiltration variant…