A user demonstrated that OpenAI's Codex model can generate code for a handwritten digit recognizer, achieving a 95.1% accuracy on a benchmark dataset. The model was able to design the weights and write rules for the recognizer, which combines fixed detector weights with hand-written geometry. The resulting Python code, including weight generation, is approximately 808 lines long. AI
IMPACT Demonstrates the capability of LLMs like Codex to generate functional code for specific tasks, potentially aiding developers.
RANK_REASON User demonstration of an existing model's capability.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
