#ap2o
Deprem - Yılmaz Özdil
YouTube video by Yılmaz Özdil
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April 25, 2025 at 10:44 PM
ANGLIA - GHANA
tuchel skrewił selekcję na mecz, wybierając gordona który jest super runnerem ale nie ma pojęcia co zrobić kiedy dostaje piłkę do nogi; bellingham zbyt konserwatywny, kane schodząc nie robił miejsca dla nikogo bo brakowało atakowania półprzestrzeni
www.youtube.com/watch?v=ap2o...
Blood Red Shoes - It's Getting Boring By The Sea
YouTube video by v2musicnl
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June 24, 2026 at 4:28 PM
Falls es Leute gibt, die auf schnörkellosen Punk stehen ;)
youtube.com/watch?v=ap2o...
Blood Red Shoes - It's Getting Boring By The Sea
YouTube video by v2musicnl
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April 18, 2026 at 7:27 PM
Deprem - Yılmaz Özdil
YouTube video by Yılmaz Özdil
youtube.com
April 25, 2025 at 9:04 AM
AP2O, a new training method for LLM code generation, improves pass@k scores by up to 3% across models from 0.5 B to 34 B parameters. The research was posted on 1 Oct 2025. https://getnews.me/ap2o-improves-llm-code-generation-by-correcting-errors-type-by-type/ #ap2o #llmcode #passatk
October 6, 2025 at 5:05 AM
AP2O: Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization
LLMs' code generation capabilities have yielded substantial improvements in the effectiveness of programming tasks. However, LLM-generated code still suffers from compilation and runtime errors. Existing offline preference optimization methods primarily focus on enhancing LLMs' coding abilities using pass/fail signals in the preference data, overlooking the deep-level error types in the failed codes. To address this, we propose Adaptively Progressive Preference Optimization (AP2O) for coding (i.e., AP2O-Coder), a method that guides LLMs adaptively and methodically to reduce code errors for code generation. Specifically, we construct an error notebook from failed codes and progressively optimize the LLM to correct errors type by type. Furthermore, we adaptively replay error types to tailor to the LLM's changing weaknesses throughout the training process. Through extensive experiments on both code and general LLMs (Llama, Qwen, and DeepSeek series) with parameters ranging from 0.5B to 34B, our AP2O-Coder improves code generation performance by up to 3% in pass@k while using less preference data. Code: https://github.com/TsingZ0/AP2O
arxiv.org
October 6, 2025 at 4:19 AM
Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao: AP2O: Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization https://arxiv.org/abs/2510.02393 https://arxiv.org/pdf/2510.02393 https://arxiv.org/html/2510.02393
October 6, 2025 at 6:34 AM
2) YILMAZ (ÖZDİL) olayları "karikatürize ederek" anlatmanın üstadı; benim nezdimde.
Depremde sonra yaşadıklarımızı da gayet güzel karikatürize etmiş.
Bazen gerçeğin karikatür haline bakmak daha UYARICI olabiliyor.
Bakmak isterseniz...
www.youtube.com/watch?v=AP2o...
Deprem - Yılmaz Özdil
YouTube video by Yılmaz Özdil
www.youtube.com
April 25, 2025 at 1:56 PM
Blood Red Shoes - It's Getting Boring By The Sea
youtube.com/watch?v=ap2o...
Blood Red Shoes - It's Getting Boring By The Sea
YouTube video by v2musicnl
youtube.com
June 22, 2026 at 11:06 PM