Experimental News Clipping Site

Tag: Generative Models

  • Hacker News: Contemplative LLMs

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    Kurt Seifried
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    Source URL: https://maharshi.bearblog.dev/contemplative-llms-prompt/ Source: Hacker News Title: Contemplative LLMs Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the novel approach of prompting Large Language Models (LLMs) to engage in a contemplation phase before generating answers. By mimicking a reasoning process, which encourages exploration and questioning assumptions, this method…

  • Hacker News: My AI/LLM predictions for the next 1, 3 and 6 years

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/ Source: Hacker News Title: My AI/LLM predictions for the next 1, 3 and 6 years Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents predictions regarding AI and Large Language Models (LLMs) over the next one, three, and six years, with insights into their potential applications, limitations, and societal…

  • Hacker News: I Program with LLMs

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    Kurt Seifried
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    Source URL: https://arstechnica.com/ai/2025/01/how-i-program-with-llms/ Source: Hacker News Title: I Program with LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the author’s personal experiences and insights from using generative AI models, specifically large language models (LLMs), in programming. It emphasizes the productivity benefits derived from LLMs and introduces a tool in development…

  • Simon Willison’s Weblog: Quoting David Crawshaw

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/7/david-crawshaw/ Source: Simon Willison’s Weblog Title: Quoting David Crawshaw Feedly Summary: I followed this curiosity, to see if a tool that can generate something mostly not wrong most of the time could be a net benefit in my daily work. The answer appears to be yes, generative models are useful for me when…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Hacker News: Google is building its own ‘world modeling’ AI team for games and robot training

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    Kurt Seifried
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    Source URL: https://www.theverge.com/2025/1/7/24338053/google-deepmind-world-modeling-ai-team-gaming-robot-training Source: Hacker News Title: Google is building its own ‘world modeling’ AI team for games and robot training Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Google DeepMind is forming a new team to focus on the development of “world models” for simulating physical environments, which aims to advance their artificial…

  • Hacker News: The State of Generative Models

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    system automation
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    Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…

  • Slashdot: Nvidia Bets on Robotics To Drive Future Growth

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    system automation
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    Source URL: https://hardware.slashdot.org/story/24/12/30/1340245/nvidia-bets-on-robotics-to-drive-future-growth?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Bets on Robotics To Drive Future Growth Feedly Summary: AI Summary and Description: Yes Summary: Nvidia is expanding its focus into the robotics sector, aiming to be a leader in an anticipated robotics revolution. The company plans to launch compact computers for humanoid robots in 2025, leveraging breakthroughs…

  • AlgorithmWatch: A Year of Challenging Choices – 2024 in review

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    system automation
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    Source URL: https://algorithmwatch.org/en/a-year-of-challenging-choices-2024-in-review/ Source: AlgorithmWatch Title: A Year of Challenging Choices – 2024 in review Feedly Summary: 2024 was a “super election" year and it marked the rise of generative Artificial Intelligence. With the adoption of the AI Act, it seemed poised to be the moment we finally gained control over automated systems. Yet, that…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…