Imagine an AI that doesn't just crunch numbers but also understands the nuances of complex situations, like predicting market trends after a company's earnings call. That's the promise of DeFine, a groundbreaking new framework that empowers Large Language Models (LLMs) to make smarter decisions by drawing parallels with similar past events. Traditional LLMs often struggle to process the messy reality of spoken language, full of uncertainties and subtle cues. DeFine tackles this by creating "factor profiles," essentially probabilistic summaries that quantify the likelihood of different outcomes based on key factors. For example, it might assess the impact of "economic health" or "regulatory changes" on a company's future performance, accounting for the inherent uncertainties. But DeFine goes further. It taps into the power of analogical reasoning, a core element of human intelligence. By comparing these factor profiles to similar historical scenarios, DeFine allows LLMs to learn from past experiences and make more informed predictions about the future. This is like an experienced investor using their knowledge of previous market reactions to guide their current investment strategy. Researchers tested DeFine on a massive dataset of earnings call transcripts and found it significantly outperformed traditional LLMs in predicting stock movements. It's particularly adept at identifying "strong buy" opportunities, offering a potentially powerful tool for investors. But the implications go far beyond finance. DeFine could revolutionize decision-making in any field involving complex scenarios and uncertain outcomes, from medical diagnoses to political analysis. Imagine doctors using AI to compare a patient's symptoms to similar cases or political analysts forecasting election results based on historical trends. DeFine opens exciting new possibilities for AI to reason more like humans, adding a crucial layer of intuition to the decision-making process. While the technology holds tremendous promise, researchers acknowledge its current limitations and the need for further development. Real-world scenarios present unique complexities that require careful consideration. However, DeFine represents a significant step forward in the quest for truly intelligent AI, paving the way for machines that can not only process information but also understand its deeper meaning.