Experimental News Clipping Site

Tag: training

  • Simon Willison’s Weblog: microsoft/phi-4

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/8/phi-4/ Source: Simon Willison’s Weblog Title: microsoft/phi-4 Feedly Summary: microsoft/phi-4 Here’s the official release of Microsoft’s Phi-4 LLM, now officially under an MIT license. A few weeks ago I covered the earlier unofficial versions, where I talked about how the model used synthetic training data in some really interesting ways. It benchmarks favorably…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • OpenAI : Deliberative alignment: reasoning enables safer language models

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    Kurt Seifried
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    Source URL: https://openai.com/index/deliberative-alignment Source: OpenAI Title: Deliberative alignment: reasoning enables safer language models Feedly Summary: Deliberative alignment: reasoning enables safer language models Introducing our new alignment strategy for o1 models, which are directly taught safety specifications and how to reason over them. AI Summary and Description: Yes Summary: The text discusses a new alignment strategy…

  • Hacker News: Nvidia CEO says his AI chips are improving faster than Moore’s Law

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/ Source: Hacker News Title: Nvidia CEO says his AI chips are improving faster than Moore’s Law Feedly Summary: Comments AI Summary and Description: Yes Summary: Jensen Huang, CEO of Nvidia, asserts that the performance of the company’s AI chips is advancing at a pace exceeding the historical benchmark of Moore’s Law. This…

  • AWS News Blog: Announcing the new AWS Asia Pacific (Thailand) Region

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/announcing-the-new-aws-asia-pacific-thailand-region/ Source: AWS News Blog Title: Announcing the new AWS Asia Pacific (Thailand) Region Feedly Summary: AWS launches Asia Pacific (Thailand) Region with 3 Availability Zones, accelerating cloud adoption. Strategically located to meet data residency needs, it drives innovation across industries. Early AWS adopters in Thailand share transformative success stories. Get started now!…

  • Krebs on Security: A Day in the Life of a Prolific Voice Phishing Crew

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    Kurt Seifried
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    Source URL: https://krebsonsecurity.com/2025/01/a-day-in-the-life-of-a-prolific-voice-phishing-crew/ Source: Krebs on Security Title: A Day in the Life of a Prolific Voice Phishing Crew Feedly Summary: Besieged by scammers seeking to phish user accounts over the telephone, Apple and Google frequently caution that they will never reach out unbidden to users this way. However, new details about the internal operations…

  • 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…

  • Cloud Blog: Enhance viewer engagement with gen AI-powered scene detection for ads

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/use-ai-powered-scene-detection-for-more-effective-ad-placement/ Source: Cloud Blog Title: Enhance viewer engagement with gen AI-powered scene detection for ads Feedly Summary: Online video consumption has skyrocketed. A staggering 1.8 billion people globally subscribed to streaming services in 20231, and 92% of internet users worldwide watched online videos every month in 20242. This growth creates a significant opportunity…

  • 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…