According to Andrew Ng's recent tweet, he suggests that while standard advice recommends providing LLMs with comprehensive context, experimenting with quick, imprecise prompts can sometimes be more efficient. This approach hinges on the ability to rapidly evaluate the quality of the output, which could be applicable in fast-paced trading environments where time is critical.