Tag: Supervised Fine

  • Enterprise AI Trends: Finetuning LLMs for Enterprises: Interview with Travis Addair, CTO of Predibase

    Source URL: https://nextword.substack.com/p/finetuning-llms-for-enterprises-interview Source: Enterprise AI Trends Title: Finetuning LLMs for Enterprises: Interview with Travis Addair, CTO of Predibase Feedly Summary: Plus, how RFT (reinforcement finetuning) will really change the game for finetuning AI models AI Summary and Description: Yes Summary: The provided text details an in-depth discussion about advancements in fine-tuning large language models…

  • Hacker News: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition

    Source URL: https://sakana.ai/ai-cuda-engineer/ Source: Hacker News Title: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant advancements made by Sakana AI in automating the creation and optimization of AI models, particularly through the development of The AI CUDA Engineer, which leverages…

  • Hacker News: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…

  • Cloud Blog: News you can use: What we announced in AI this month

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/what-google-cloud-announced-in-ai-this-month/ Source: Cloud Blog Title: News you can use: What we announced in AI this month Feedly Summary: 2025 is off to a racing start. From announcing strides in the new Gemini 2.0 model family to retailers accelerating with Cloud AI, we spent January investing in our partner ecosystem, open-source, and ways to…

  • Hacker News: Understanding Reasoning LLMs

    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…

  • Hacker News: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs

    Source URL: https://www.interconnects.ai/p/deepseek-r1-recipe-for-o1 Source: Hacker News Title: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the recent developments and insights regarding the training of reasoning language models (RLMs), particularly focusing on the release of DeepSeek AI’s flagship reasoning model,…

  • Hacker News: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model

    Source URL: https://qwenlm.github.io/blog/qwen2.5-max/ Source: Hacker News Title: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development and performance evaluation of Qwen2.5-Max, a large-scale Mixture-of-Expert (MoE) model pretrained on over 20 trillion tokens. It highlights significant advancements in model intelligence achieved through scaling…

  • Hacker News: Open-R1: an open reproduction of DeepSeek-R1

    Source URL: https://huggingface.co/blog/open-r1 Source: Hacker News Title: Open-R1: an open reproduction of DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the release of DeepSeek-R1, a language model that significantly enhances reasoning capabilities through advanced training techniques, including reinforcement learning. The Open-R1 project aims to replicate and build upon DeepSeek-R1’s methodologies…

  • Hacker News: The Illustrated DeepSeek-R1

    Source URL: https://newsletter.languagemodels.co/p/the-illustrated-deepseek-r1 Source: Hacker News Title: The Illustrated DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of DeepSeek-R1, an advanced model in the machine learning and AI domain, highlighting its novel training approach, especially in reasoning tasks. This model presents significant insights into the evolving capabilities of…

  • Hacker News: How DeepSeek-R1 Was Built, for Dummies

    Source URL: https://www.vellum.ai/blog/the-training-of-deepseek-r1-and-ways-to-use-it Source: Hacker News Title: How DeepSeek-R1 Was Built, for Dummies Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek’s innovative approach to training reasoning models through pure reinforcement learning (RL) without labeled data. This breakthrough could significantly impact the development of AI, particularly in the realm of large…