Experimental News Clipping Site

Tag: practical applications

  • Hacker News: Replicating Deepseek-R1 for $4500: RL Boosts 1.5B Model Beyond o1-preview

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    Kurt Seifried
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    Source URL: https://github.com/agentica-project/deepscaler Source: Hacker News Title: Replicating Deepseek-R1 for $4500: RL Boosts 1.5B Model Beyond o1-preview Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the release of DeepScaleR, an open-source project aimed at democratizing reinforcement learning (RL) for large language models (LLMs). It highlights the project’s capabilities, training methodologies, and…

  • Hacker News: Using pip to install a Large Language Model that’s under 100MB

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/7/pip-install-llm-smollm2/ Source: Hacker News Title: Using pip to install a Large Language Model that’s under 100MB Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of a new Python package, llm-smollm2, which allows users to install a quantized Large Language Model (LLM) under 100MB through pip. It provides…

  • CSA: What Are the Five Steps to Zero Trust?

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/02/07/five-steps-to-zero-trust Source: CSA Title: What Are the Five Steps to Zero Trust? Feedly Summary: AI Summary and Description: Yes Summary: The text emphasizes the urgent need for a Zero Trust cybersecurity approach, particularly for small to medium-sized businesses (SMBs) facing significant cyber-attack risks. It outlines a five-step implementation process, detailing how organizations can…

  • Hacker News: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon

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    Kurt Seifried
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    Source URL: https://community.amd.com/t5/ai/experience-the-deepseek-r1-distilled-reasoning-models-on-amd/ba-p/740593 Source: Hacker News Title: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the DeepSeek R1 model, a newly developed reasoning model in the realm of large language models (LLMs). It highlights its unique ability to perform…

  • Hacker News: How to prove false statements? (Part 1)

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    Kurt Seifried
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    Source URL: https://blog.cryptographyengineering.com/2025/02/04/how-to-prove-false-statements-part-1/ Source: Hacker News Title: How to prove false statements? (Part 1) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves into the implications of theoretical models in cryptography, particularly focusing on the random oracle model (ROM) and its impact on the practical security of cryptographic schemes. It emphasizes the…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • Cloud Blog: 5 AI trends shaping the future of the public sector in 2025

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/public-sector/5-ai-trends-shaping-the-future-of-the-public-sector-in-2025/ Source: Cloud Blog Title: 5 AI trends shaping the future of the public sector in 2025 Feedly Summary: Artificial intelligence (AI) is no longer a futuristic concept. In 2025, it’s poised to become a cornerstone of public sector operations, transforming how agencies make decisions and serve constituents. By leading with AI-powered innovation,…

  • Hacker News: How I use LLMs as a staff engineer

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    Kurt Seifried
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    Source URL: https://www.seangoedecke.com/how-i-use-llms/ Source: Hacker News Title: How I use LLMs as a staff engineer Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a nuanced perspective on the use of large language models (LLMs) within software engineering, highlighting both their transformative potential and limitations. It details real-world applications and personal strategies…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

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    Kurt Seifried
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    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…

  • Simon Willison’s Weblog: Constitutional Classifiers: Defending against universal jailbreaks

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/3/constitutional-classifiers/ Source: Simon Willison’s Weblog Title: Constitutional Classifiers: Defending against universal jailbreaks Feedly Summary: Constitutional Classifiers: Defending against universal jailbreaks Interesting new research from Anthropic, resulting in the paper Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. From the paper: In particular, we introduce Constitutional Classifiers, a framework…