As a partner at a venture capital firm, the role involves synthesizing diverse information to inform investment decisions. There is a temptation to rely on AI for analysis, but it is critical that the output is excellent rather than just decent. Effective structuring of instructions for AI is essential, as AI-generated outputs often lack nuances and details. Critical thinking and personal judgment play an important role in enhancing the quality of AI analysis, ensuring it mirrors individual writing styles.
For something so critical to our job, we don't just want it done, we need it to be excellent.
When relying on an LLM you often get something that only seems good at first glance: often the AI has missed details, or an important nuance.
Our job is to synthesize these data points into a nuanced perspective to inform our investment decisions.
How we structure instructions to get the best analysis out of an AI model.
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