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Focus on Fundamentals Before Fads
Start AI product development by grounding efforts in first principles to avoid getting caught up in trends. Prioritize the user's specific needs over what appears trendy. Sometimes traditional programming methods are more effective than LLMs for certain problems. Begin AI projects with prototyping tools like GPT-4 to test solutions swiftly, rather than diving into customizing models immediately. Only scale and fine-tune if there is significant traction, focusing later on optimizing costs per inference.