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Tag: smaller models

  • Cloud Blog: Networking support for AI workloads

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/networking/cross-cloud-network-solutions-support-for-ai-workloads/ Source: Cloud Blog Title: Networking support for AI workloads Feedly Summary: At Google Cloud, we strive to make it easy to deploy AI models onto our infrastructure. In this blog we explore how the Cross-Cloud Network solution supports your AI workloads. Managed and Unmanaged AI options Google Cloud provides both managed (Vertex…

  • 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…

  • Hacker News: How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs

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    Kurt Seifried
    in

    Source URL: https://www.guru3d.com/story/amd-explains-how-to-run-deepseek-r1-distilled-reasoning-models-on-amd-ryzen-ai-and-radeon/ Source: Hacker News Title: How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the capabilities and deployment of DeepSeek R1 Distilled Reasoning models, highlighting their use of chain-of-thought reasoning for complex prompt analysis. It details how…

  • AWS News Blog: DeepSeek-R1 models now available on AWS

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/deepseek-r1-models-now-available-on-aws/ Source: AWS News Blog Title: DeepSeek-R1 models now available on AWS Feedly Summary: DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications with minimal infrastructure investment to…

  • Simon Willison’s Weblog: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/27/qwen25-vl-qwen25-vl-qwen25-vl/ Source: Simon Willison’s Weblog Title: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Feedly Summary: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Hot on the heels of yesterday’s Qwen2.5-1M, here’s Qwen2.5 VL (with an excitable announcement title) – the latest in Qwen’s series of vision LLMs. They’re releasing multiple versions: base models and instruction tuned…

  • 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: How outdated information hides in LLM token generation probabilities

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    Kurt Seifried
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    Source URL: https://blog.anj.ai/2025/01/llm-token-generation-probabilities.html Source: Hacker News Title: How outdated information hides in LLM token generation probabilities Feedly Summary: Comments AI Summary and Description: Yes ### Summary: The text provides a deep examination of how large language models (LLMs), such as ChatGPT, process and generate responses based on conflicting and outdated information sourced from the internet.…

  • Hacker News: TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

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    system automation
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    Source URL: https://arxiv.org/abs/2305.07759 Source: Hacker News Title: TinyStories: How Small Can Language Models Be and Still Speak Coherent English? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a study on the capabilities of small language models in generating coherent text using a new dataset called TinyStories. The findings suggest that even…

  • Hacker News: I Run LLMs Locally

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    system automation
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    Source URL: https://abishekmuthian.com/how-i-run-llms-locally/ Source: Hacker News Title: I Run LLMs Locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how to set up and run Large Language Models (LLMs) locally, highlighting hardware requirements, tools, model choices, and practical insights on achieving better performance. This is particularly relevant for professionals focused on…

  • Hacker News: Can LLMs Accurately Recall the Bible

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    system automation
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    Source URL: https://benkaiser.dev/can-llms-accurately-recall-the-bible/ Source: Hacker News Title: Can LLMs Accurately Recall the Bible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an evaluation of Large Language Models (LLMs) regarding their ability to accurately recall Bible verses. The analysis reveals significant differences in accuracy based on model size and parameter count, highlighting…