Experimental News Clipping Site

Tag: generative model

  • 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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    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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    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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    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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    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…

  • Wired: Generative AI and Climate Change Are on a Collision Course

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    Source URL: https://www.wired.com/story/true-cost-generative-ai-data-centers-energy/ Source: Wired Title: Generative AI and Climate Change Are on a Collision Course Feedly Summary: From energy to resources, data centers have grown too greedy. AI Summary and Description: Yes Summary: The text highlights the environmental impact of AI, particularly the energy consumption and resource use associated with large language models (LLMs)…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

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    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…

  • Hacker News: AI hallucinations: Why LLMs make things up (and how to fix it)

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    Source URL: https://www.kapa.ai/blog/ai-hallucination Source: Hacker News Title: AI hallucinations: Why LLMs make things up (and how to fix it) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses a critical issue in AI, particularly with Large Language Models (LLMs), known as “AI hallucination.” This phenomenon presents significant challenges in maintaining the reliability…