Lessons After a Half Billion Gpt Tokens
Read OriginalThe article shares insights from building features with over half a billion GPT tokens, emphasizing that shorter, less prescriptive prompts often yield better results than over-specified ones. It highlights a key challenge: LLMs struggle to reliably return null or 'I don't know' responses, often hallucinating instead. The author compares experiences with models like GPT-4, GPT-3.5, and Claude variants.
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