Tag: GitHub
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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…
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Simon Willison’s Weblog: Everything I built with Claude Artifacts this week
Source URL: https://simonwillison.net/2024/Oct/21/claude-artifacts/#atom-everything Source: Simon Willison’s Weblog Title: Everything I built with Claude Artifacts this week Feedly Summary: I’m a huge fan of Claude’s Artifacts feature, which lets you prompt Claude to create an interactive Single Page App (using HTML, CSS and JavaScript) and then view the result directly in the Claude interface, iterating on…
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Hacker News: VPTQ: Extreme low-bit Quantization for real LLMs
Source URL: https://github.com/microsoft/VPTQ Source: Hacker News Title: VPTQ: Extreme low-bit Quantization for real LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel technique called Vector Post-Training Quantization (VPTQ) designed for compressing Large Language Models (LLMs) to extremely low bit-widths (under 2 bits) without compromising accuracy. This innovative method can…
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Docker: Using Docker AI Tools for Devs to Provide Context for Better Code Fixes
Source URL: https://www.docker.com/blog/using-docker-ai-tools-for-devs-to-provide-context-for-better-code-fixes/ Source: Docker Title: Using Docker AI Tools for Devs to Provide Context for Better Code Fixes Feedly Summary: Learn how to map your codebase in order to provide context for creating better AI-generated code fixes. AI Summary and Description: Yes **Summary:** The text discusses Docker’s exploration of integrating AI developer tools into…
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Hacker News: Janus: Decoupling Visual Encoding for Multimodal Understanding and Generation
Source URL: https://github.com/deepseek-ai/Janus Source: Hacker News Title: Janus: Decoupling Visual Encoding for Multimodal Understanding and Generation Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Janus, a novel autoregressive framework designed for multimodal understanding and generation, addressing previous shortcomings in visual encoding. This model’s ability to manage different visual encoding pathways while…
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Hacker News: Concerns Raised over Bitwarden Moving Further Away from Open-Source
Source URL: https://www.phoronix.com/news/Bitwarden-Open-Source-Concerns#google_vignette Source: Hacker News Title: Concerns Raised over Bitwarden Moving Further Away from Open-Source Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses concerns from users about Bitwarden’s shift away from open-source practices, particularly related to changes in their SDK licensing, which may affect the application’s free software classification. This…
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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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Irrational Exuberance: Modeling driving onboarding.
Source URL: https://lethain.com/driver-onboarding-model/ Source: Irrational Exuberance Title: Modeling driving onboarding. Feedly Summary: The How should you adopt LLMs? strategy explores how Theoretical Ride Sharing might adopt LLMs. It builds on several models, the first is about LLMs impact on Developer Experience. The second model, documented here, looks at whether LLMs might improve a core product…