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nyuuzyou

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nyuuzyou

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liked a dataset 2 days ago

evborjnvioerjnvuowsetngboetgjbeigjaweuofjf/UGotHat

reacted to codelion's post with 🔥 3 days ago

Introducing AutoThink: Adaptive reasoning for LLMs that improves performance by 43% on reasoning benchmarks! Instead of using fixed thinking budgets, AutoThink: - Classifies query complexity (HIGH/LOW) using adaptive classification - Dynamically allocates thinking tokens based on complexity - Uses steering vectors derived from Pivotal Token Search to guide reasoning patterns Results on DeepSeek-R1-Distill-Qwen-1.5B: - GPQA-Diamond: 31.06% vs 21.72% baseline (+9.34 points) - MMLU-Pro: 26.38% vs 25.58% baseline (+0.8 points) - Uses fewer tokens than baseline approaches Works with any local reasoning model - DeepSeek, Qwen, Llama, custom models. The technique combines our research on Pivotal Token Search (PTS) implementation and adaptive classification frameworks. Paper: AutoThink: efficient inference for reasoning LLMs https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5253327 Code and examples: https://github.com/codelion/optillm/tree/main/optillm/autothink PTS implementation and technical details: https://github.com/codelion/pts https://huggingface.co/blog/codelion/pts Adaptive classifier framework: https://github.com/codelion/adaptive-classifier Would love to hear your thoughts on adaptive resource allocation for LLM reasoning! Have you experimented with similar approaches?

reacted to ProCreations's post with 🚀 4 days ago

Eyyyy 50 followers 🤯

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I recently updated nyuuzyou/pxhere dataset and it now contains approximately 1.1M CC0 high-resolution images

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🎬 Animations Dataset - nyuuzyou/animations

Collection of approximately 50,849 animations featuring:

- Simple sketch-level drawings, text elements, and embedded images
- Includes metadata: unique UUID, frame components, timing between frames, and canvas settings
- Contains full-resolution frames and source images in original format
- Organized with approximately 1,000 animations per archive

All animations are stored in a structured format that preserves relationships between component images and their composition within animation frames.

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