Tag: Hugging Face
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Hacker News: Calculate the number of language model tokens for a string
Source URL: https://blog.mastykarz.nl/calculate-number-language-model-tokens-string/ Source: Hacker News Title: Calculate the number of language model tokens for a string Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides guidance on calculating the number of language model tokens for a given string, which is essential for developers working with AI and NLP applications. The method…
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Hacker News: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output
Source URL: https://github.com/klara-research/klarity Source: Hacker News Title: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Klarity is a robust tool designed for analyzing uncertainty in generative model predictions. By leveraging both raw probability and semantic comprehension, it provides unique insights into model…
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Hacker News: Mistral Small 3
Source URL: https://mistral.ai/news/mistral-small-3/ Source: Hacker News Title: Mistral Small 3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mistral Small 3, a new 24B-parameter model optimized for latency, designed for generative AI tasks. It highlights the model’s competitive performance compared to larger models, its suitability for local deployment, and its potential…
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Hacker News: DeepSeek’s Hidden Bias: How We Cut It by 76% Without Performance Loss
Source URL: https://www.hirundo.io/blog/deepseek-r1-debiased Source: Hacker News Title: DeepSeek’s Hidden Bias: How We Cut It by 76% Without Performance Loss Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the pressing issue of bias in large language models (LLMs), particularly in customer-facing industries where compliance and fairness are paramount. It highlights Hirundo’s innovative…
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Simon Willison’s Weblog: DeepSeek Janus-Pro
Source URL: https://simonwillison.net/2025/Jan/27/deepseek-janus-pro/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek Janus-Pro Feedly Summary: DeepSeek Janus-Pro Another impressive model release from DeepSeek. Janus is their series of “unified multimodal understanding and generation models" – these are models that can both accept images as input and generate images for output. Janus-Pro is a new 7B model accompanied by…
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Slashdot: DeepSeek Piles Pressure on AI Rivals With New Image Model Release
Source URL: https://slashdot.org/story/25/01/27/190204/deepseek-piles-pressure-on-ai-rivals-with-new-image-model-release?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek Piles Pressure on AI Rivals With New Image Model Release Feedly Summary: AI Summary and Description: Yes Summary: DeepSeek, a Chinese AI startup, has introduced Janus Pro, a series of open-source multimodal models that reportedly outshine OpenAI’s DALL-E 3 and Stable Diffusion. These models are aimed at enhancing…
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Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M
Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…
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Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens
Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…
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Simon Willison’s Weblog: r1.py script to run R1 with a min-thinking-tokens parameter
Source URL: https://simonwillison.net/2025/Jan/22/r1py/ Source: Simon Willison’s Weblog Title: r1.py script to run R1 with a min-thinking-tokens parameter Feedly Summary: r1.py script to run R1 with a min-thinking-tokens parameter Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a …</think> block. Theia found that you can intercept…