Experimental News Clipping Site

Tag: llms

  • Hacker News: Does current AI represent a dead end?

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    Source URL: https://www.bcs.org/articles-opinion-and-research/does-current-ai-represent-a-dead-end/ Source: Hacker News Title: Does current AI represent a dead end? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text underscores the challenges and unmanageability of current AI systems, particularly those based on large neural networks like LLMs and generative AI. It highlights the ethical implications of data usage and…

  • Hacker News: Building AI Products–Part I: Back-End Architecture

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    Source URL: http://philcalcado.com/2024/12/14/building-ai-products-part-i.html Source: Hacker News Title: Building AI Products–Part I: Back-End Architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text details the evolution of an AI-powered assistant for engineering leaders, transforming into Outropy, a developer platform aimed at helping software engineers build AI products. It discusses the challenges faced in structuring…

  • Simon Willison’s Weblog: Open WebUI

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    Source URL: https://simonwillison.net/2024/Dec/27/open-webui/#atom-everything Source: Simon Willison’s Weblog Title: Open WebUI Feedly Summary: Open WebUI I tried out this open source (MIT licensed, JavaScript and Python) localhost UI for accessing LLMs today for the first time. It’s very nicely done. I ran it with uvx like this: uvx –python 3.11 open-webui serve On first launch it…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

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    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-V3-Base

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    Source URL: https://simonwillison.net/2024/Dec/25/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-V3-Base Feedly Summary: deepseek-ai/DeepSeek-V3-Base No model card or announcement yet, but this new model release from Chinese AI lab DeepSeek (an arm of Chinese hedge fund High-Flyer) looks very significant. It’s a huge model – 685B parameters, 687.9 GB on disk (TIL how to size a git-lfs…

  • Simon Willison’s Weblog: Trying out QvQ – Qwen’s new visual reasoning model

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    Source URL: https://simonwillison.net/2024/Dec/24/qvq/#atom-everything Source: Simon Willison’s Weblog Title: Trying out QvQ – Qwen’s new visual reasoning model Feedly Summary: I thought we were done for major model releases in 2024, but apparently not: Alibaba’s Qwen team just dropped the Apache2 2 licensed QvQ-72B-Preview, “an experimental research model focusing on enhancing visual reasoning capabilities". Their blog…

  • Hacker News: AIs Will Increasingly Fake Alignment

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    Source URL: https://thezvi.substack.com/p/ais-will-increasingly-fake-alignment Source: Hacker News Title: AIs Will Increasingly Fake Alignment Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant findings from a research paper by Anthropic and Redwood Research on “alignment faking” in large language models (LLMs), particularly focusing on the model named Claude. The results reveal how AI…

  • Simon Willison’s Weblog: Quoting Paige Bailey

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    Source URL: https://simonwillison.net/2024/Dec/24/paige-bailey/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Paige Bailey Feedly Summary: it’s really hard not to be obsessed with these tools. It’s like having a bespoke, free, (usually) accurate curiosity-satisfier in your pocket, no matter where you go – if you know how to ask questions, then suddenly the world is an audiobook…

  • Irrational Exuberance: Wardley mapping the LLM ecosystem.

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    Source URL: https://lethain.com/wardley-llm-ecosystem/ Source: Irrational Exuberance Title: Wardley mapping the LLM ecosystem. Feedly Summary: In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build…

  • Simon Willison’s Weblog: Finally, a Replacement for BERT: Introducing ModernBERT

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    Source URL: https://simonwillison.net/2024/Dec/24/modernbert/ Source: Simon Willison’s Weblog Title: Finally, a Replacement for BERT: Introducing ModernBERT Feedly Summary: Finally, a Replacement for BERT: Introducing ModernBERT BERT was an early language model released by Google in October 2018. Unlike modern LLMs it wasn’t designed for generating text. BERT was trained for masked token prediction and was generally…