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Tag: hyperparameter tuning

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • The Register: DeepSeek-R1-beating perf in a 32B package? El Reg digs its claws into Alibaba’s QwQ

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/03/16/qwq_hands_on_review/ Source: The Register Title: DeepSeek-R1-beating perf in a 32B package? El Reg digs its claws into Alibaba’s QwQ Feedly Summary: How to tame its hypersensitive hyperparameters and get it running on your PC Hands on How much can reinforcement learning – and a bit of extra verification – improve large language models,…

  • Hacker News: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue"

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    Kurt Seifried
    in

    Source URL: https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue Source: Hacker News Title: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue" Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The provided text explores the application of reinforcement learning to enhance the deductive reasoning capabilities of smaller, open-weight models in AI. Specifically, it focuses on…

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

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    Kurt Seifried
    in

    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: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges

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    system automation
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    Source URL: https://arxiv.org/abs/2408.13296 Source: Hacker News Title: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges Feedly Summary: Comments AI Summary and Description: Yes Summary: This guide extensively covers the fine-tuning of Large Language Models (LLMs), detailing methodologies, techniques, and practical applications. Its relevance to AI and LLM security professionals is underscored by discussions…

  • Hacker News: Implementing neural networks on the "3 cent" 8-bit microcontroller

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    system automation
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    Source URL: https://cpldcpu.wordpress.com/2024/05/02/machine-learning-mnist-inference-on-the-3-cent-microcontroller/ Source: Hacker News Title: Implementing neural networks on the "3 cent" 8-bit microcontroller Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation of a neural network-based inference engine for recognizing handwritten digits (from the MNIST dataset) on extremely low-end microcontrollers, specifically the Padauk 8-bit microcontroller series. It…

  • Cloud Blog: Fine-tuning Gemma, the journey from beginning to end

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/fine-tuning-gemma-models/ Source: Cloud Blog Title: Fine-tuning Gemma, the journey from beginning to end Feedly Summary: Chatbots are one of the more common, early use cases for generative AI, particularly in retail organizations. To make them useful for shoppers, a chatbot needs to be contextually sensitive to a retailer’s product catalog, with the ability…