When Anthropic announced the start of testing on Friday, security vendors, and the markets, sat up and took notice. But is ...
Abstract: Recently, Large Language Models (LLMs) have made substantial progress in code generation, but they still frequently generate code containing logic errors or syntax bugs. While research has ...
Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...
We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...
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The secret Python switch: How one flag makes your scripts run faster
Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.
Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code ...
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