Right from the early days of Gemini, enterprises would get the quality/cost tradeoff wrong. They’d often start with the smallest, cheapest model. The rule of thumb we gave customers: Replacing a traditional ML model with an LLM - start small, cos you already know what good looks like. Building something new - start with the most capable model. Think magically. Figure out what’s actually possible first. Once they had a high-quality working application, we’d help them move to a smaller model while maintaining quality.
从 Gemini 的早期开始，企业就常常会把质量/成本的权衡搞错。他们往往会先从最小、最便宜的 model 开始。我们给客户的一条经验法则是：如果是用 LLM（大语言模型）替代传统的 ML model（机器学习模型），那就从小模型开始，因为你已经知道“好的效果”是什么样子。可如果是在构建全新的东西，那就先从能力最强的 model 开始。要有点“魔法般地思考”。先弄清楚实际到底有哪些可能性。等他们做出了一个高质量、能运行的应用之后，我们再帮助他们在保持质量的前提下，迁移到更小的 model。