Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
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We propose CatVersion, an inversion-based method that learns the personalized concept through a handful of examples. Subsequently, users can utilize text prompts to generate images that embody the ...
Abstract: Brain tumor is a deadly disease and its classification is a challenging task for radiologists because of the heterogeneous nature of the tumor cells. Recently, computer-aided diagnosis-based ...
Abstract: Chronic wounds represent a significant global healthcare challenge, affecting millions of individuals and leading to substantial financial burdens. Accurate classification of chronic wounds ...
🚀 Obfuscator.io with VM Obfuscation is out! Obfuscator.io features VM-based bytecode obfuscation — the most advanced code protection available. Your JavaScript ...