Experimental News Clipping Site

Tag: model performance

  • Simon Willison’s Weblog: The "think" tool: Enabling Claude to stop and think in complex tool use situations

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/21/the-think-tool/#atom-everything Source: Simon Willison’s Weblog Title: The "think" tool: Enabling Claude to stop and think in complex tool use situations Feedly Summary: The “think" tool: Enabling Claude to stop and think in complex tool use situations Fascinating new prompt engineering trick from Anthropic. They use their standard tool calling mechanism to define a…

  • Hacker News: Writing an LLM from scratch, part 10 – dropout

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    Kurt Seifried
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    Source URL: https://www.gilesthomas.com/2025/03/llm-from-scratch-10-dropout Source: Hacker News Title: Writing an LLM from scratch, part 10 – dropout Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details the concept and implementation of dropout within the training of large language models (LLMs), specifically within a PyTorch context. It illustrates the importance of dropout in spreading…

  • Hacker News: Sketch-of-Thought: Efficient LLM Reasoning

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2503.05179 Source: Hacker News Title: Sketch-of-Thought: Efficient LLM Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a novel prompting framework called Sketch-of-Thought (SoT) aimed at optimizing large language models (LLMs) by minimizing token usage while maintaining or improving reasoning accuracy. This innovation is particularly relevant for AI…

  • Simon Willison’s Weblog: What’s new in the world of LLMs, for NICAR 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/8/nicar-llms/ Source: Simon Willison’s Weblog Title: What’s new in the world of LLMs, for NICAR 2025 Feedly Summary: I presented two sessions at the NICAR 2025 data journalism conference this year. The first was this one based on my review of LLMs in 2024, extended by several months to cover everything that’s happened…

  • Hacker News: Study: Large language models still lack general reasoning skills

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    Kurt Seifried
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    Source URL: https://santafe.edu/news-center/news/study-large-language-models-still-lack-general-reasoning-skills Source: Hacker News Title: Study: Large language models still lack general reasoning skills Feedly Summary: Comments AI Summary and Description: Yes Summary: This text discusses research findings on the reasoning capabilities of large language models (LLMs) like GPT-4. It highlights the limitations of these models in understanding and solving complex analogy puzzles…

  • Cloud Blog: Introducing built-in performance monitoring for Vertex AI Model Garden

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/performance-monitoring-and-alerts-for-gen-ai-models-on-vertex-ai/ Source: Cloud Blog Title: Introducing built-in performance monitoring for Vertex AI Model Garden Feedly Summary: Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications.…

  • Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
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    Source URL: https://qwenlm.github.io/blog/qwq-32b/ Source: Hacker News Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in Reinforcement Learning (RL) as applied to large language models, particularly highlighting the launch of the QwQ-32B model. It emphasizes the model’s performance enhancements through RL and…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…