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Tag: fine-tuning

  • Hacker News: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.12948 Source: Hacker News Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of new language models, DeepSeek-R1 and DeepSeek-R1-Zero, developed to enhance reasoning capabilities in large language models (LLMs) through reinforcement learning. This research represents a significant advancement…

  • Hacker News: Lessons from building a small-scale AI application

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    Kurt Seifried
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    Source URL: https://www.thelis.org/blog/lessons-from-ai Source: Hacker News Title: Lessons from building a small-scale AI application Feedly Summary: Comments AI Summary and Description: Yes Summary: The text encapsulates critical lessons learned from constructing a small-scale AI application, emphasizing the differences between traditional programming and AI development, alongside the intricacies of managing data quality, training pipelines, and system…

  • Hacker News: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks

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    Kurt Seifried
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    Source URL: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Source: Hacker News Title: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the introduction of DeepSeek-R1 and DeepSeek-R1-Zero, first-generation reasoning models that utilize large-scale reinforcement learning without prior supervised fine-tuning. These models exhibit significant reasoning capabilities but also face challenges like endless…

  • Hacker News: DeepSeek-R1

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    Kurt Seifried
    in

    Source URL: https://github.com/deepseek-ai/DeepSeek-R1 Source: Hacker News Title: DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents advancements in AI reasoning models, specifically DeepSeek-R1-Zero and DeepSeek-R1, emphasizing the unique approach of training solely through large-scale reinforcement learning (RL) without initial supervised fine-tuning. These models demonstrate significant reasoning capabilities and highlight breakthroughs in…

  • Hacker News: Don’t use cosine similarity carelessly

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    Kurt Seifried
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    Source URL: https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity/ Source: Hacker News Title: Don’t use cosine similarity carelessly Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the complexities and limitations of using cosine similarity in AI, particularly in the context of vector embeddings derived from language models. It critiques the blind application of cosine similarity to assess…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: Phi4 Available on Ollama

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    Kurt Seifried
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    Source URL: https://ollama.com/library/phi4 Source: Hacker News Title: Phi4 Available on Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Phi 4, a state-of-the-art language model focusing on generative AI capabilities. It highlights the model’s design, enhancements for safety and accuracy, and its primary and out-of-scope use cases, along with regulatory considerations.…

  • 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…

  • 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: Nvidia Puts Grace Blackwell on Every Desk and at Every AI Developer’s Fingertips

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    Kurt Seifried
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    Source URL: https://nvidianews.nvidia.com/news/nvidia-puts-grace-blackwell-on-every-desk-and-at-every-ai-developers-fingertips Source: Hacker News Title: Nvidia Puts Grace Blackwell on Every Desk and at Every AI Developer’s Fingertips Feedly Summary: Comments AI Summary and Description: Yes Summary: NVIDIA’s unveiling of Project DIGITS marks a significant advancement in personal AI computing, delivering an AI supercomputing platform that empowers developers, researchers, and students. The GB10…