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Tag: training methodologies

  • Slashdot: OpenAI’s Motion to Dismiss Copyright Claims Rejected by Judge

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/04/05/0323213/openais-motion-to-dismiss-copyright-claims-rejected-by-judge?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s Motion to Dismiss Copyright Claims Rejected by Judge Feedly Summary: AI Summary and Description: Yes Summary: The ongoing lawsuit filed by The New York Times against OpenAI raises significant issues regarding copyright infringement related to AI training datasets. The case underscores the complex intersection of AI technology, copyright…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

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    Kurt Seifried
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    Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…

  • Hacker News: Meta must defend claim it stripped copyright info from Llama’s training fodder

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/11/meta_dmca_copyright_removal_case/ Source: Hacker News Title: Meta must defend claim it stripped copyright info from Llama’s training fodder Feedly Summary: Comments AI Summary and Description: Yes Summary: A federal judge has ruled that Meta must face claims of copyright infringement related to the removal of copyright management information (CMI) from materials used to train…

  • Simon Willison’s Weblog: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/5/qwq-32b/#atom-everything Source: Simon Willison’s Weblog Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: QwQ-32B: Embracing the Power of Reinforcement Learning New Apache 2 licensed reasoning model from Qwen: We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters…

  • Hacker News: The Differences Between Deep Research, Deep Research, and Deep Research

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    Kurt Seifried
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    Source URL: https://leehanchung.github.io/blogs/2025/02/26/deep-research/ Source: Hacker News Title: The Differences Between Deep Research, Deep Research, and Deep Research Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergence and technical nuances of “Deep Research” in AI, especially its evolution from Retrieval-Augmented Generation (RAG). It highlights how different AI organizations are implementing this…

  • OpenAI : Introducing GPT-4.5

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    Kurt Seifried
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    Source URL: https://openai.com/index/introducing-gpt-4-5 Source: OpenAI Title: Introducing GPT-4.5 Feedly Summary: We’re releasing a research preview of GPT‑4.5—our largest and best model for chat yet. GPT‑4.5 is a step forward in scaling up pretraining and post-training. AI Summary and Description: Yes Summary: The text announces the release of a research preview for GPT-4.5, highlighting advancements in…

  • Tomasz Tunguz: The AI Elbow’s Impact : What Reasoning Means for Business

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/the-impact-of-reasoning/ Source: Tomasz Tunguz Title: The AI Elbow’s Impact : What Reasoning Means for Business Feedly Summary: October 2024 marked a critical inflection point in AI development. Hidden in the performance data, a subtle elbow emerged – a mathematical harbinger that would prove prophetic. What began as a minor statistical anomaly has since…

  • 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: Understanding Reasoning LLMs

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    Kurt Seifried
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    Source URL: https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Source: Hacker News Title: Understanding Reasoning LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores advancements in reasoning models associated with large language models (LLMs), focusing particularly on the development of DeepSeek’s reasoning model and various approaches to enhance LLM capabilities through structured training methodologies. This examination is…