Google Deepmind and USC researchers have proposed a 'self-discover' prompting framework that improves the performance of large language models (LLMs), such as OpenAI's GPT-4 and Google's PaLM 2. The approach self-discovers unique underlying structures for each task, leading to notable performance improvements and increased efficiency. The 'self-discover' framework has the potential to enhance problem-solving and advance the development of general intelligence in LLMs.
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Self-discovering unique structuresNotable performance improvements for known LLMsImproved reasoning is key to AI success27 Impressions