Experimental News Clipping Site

Tag: training method

  • 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: QwQ-32B: Embracing the Power of Reinforcement Learning

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    Kurt Seifried
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    Source URL: https://qwenlm.github.io/blog/qwq-32b/ Source: Hacker News Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in Reinforcement Learning (RL) as applied to large language models, particularly highlighting the launch of the QwQ-32B model. It emphasizes the model’s performance enhancements through RL and…

  • 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…

  • Hacker News: Narrow finetuning can produce broadly misaligned LLM [pdf]

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    Kurt Seifried
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    Source URL: https://martins1612.github.io/emergent_misalignment_betley.pdf Source: Hacker News Title: Narrow finetuning can produce broadly misaligned LLM [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document presents findings on the phenomenon of “emergent misalignment” in large language models (LLMs) like GPT-4o when finetuned on specific narrow tasks, particularly the creation of insecure code. The results…

  • 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…

  • The Register: DeepMind working on distributed training of large AI models

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/11/deepmind_distributed_model_training_research/ Source: The Register Title: DeepMind working on distributed training of large AI models Feedly Summary: Alternate process could be a game changer if they can make it practicable Is distributed training the future of AI? As the shock of the DeepSeek release fades, its legacy may be an awareness that alternative approaches…

  • 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…