OpenAI的特德·桑德斯(Ted Sanders)对选择正确的GPT型号有一条拇指规则
OpenAI的特德·桑德斯将新的GPT-6.1 Terra分类，并解释了公司如何命名其语言模型。 根据桑德斯的说法，模型性能是多维的。 一个在数学方面很出色的模型不会自动地擅长于笑话。 尽管如此，大多数的性能差距都下降到一个变量：模型大小。 Sanders 称 OpenAI的模型名称难以简化，因为模型大小，推理努力，多agent系统是独特的维度。 把它们合并成一个"智商分数"会模糊细节。
而大小不解一切相。 较新的，更小的模型可以通过更好的培训数据或改进的架构来超越更老的，更大的模型。 GPT-6.1 Terra在技术交流上可能比较大的Astra要好，在图像处理和计算机使用上大致匹配，价格要低得多，但在大多数其他领域，Sanders 称却还差。 "如果你只关心质量，就选择Astra. 如果你对价格有点敏感，就选索尔。 如果你对价格很敏感就选Terra或Luna"
AI News Without the Hype – 由人类治愈
订阅THE DECODER免费阅读，每周AI通讯，我们独家的"AI雷达"前沿报告每年6次，全面存档访问，访问我们的评论部分。
现在订阅
本文由 AI宝库自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT-model
OpenAI's Ted Sanders has categorized the new GPT-6.1 Terra and explained how the company names its language models. According to Sanders, model performance is multidimensional. A model that's great at math won't automatically be good at jokes. Still, most performance gaps come down to one variable: model size. Sanders says OpenAI's model names are difficult to simplify because model size, reasoning effort, and multi-agent systems are distinct dimensions. Combining them into a single "IQ score" would obscure details.
And size doesn't explain everything. Newer, smaller models can outperform older, larger ones through better training data or improved architectures. GPT-6.1 Terra is likely better than the larger Astra at technical communication and roughly matches it in image processing and computer use at a much lower price point, but falls short in most other areas, Sanders says. "If you care about quality only, pick Astra. If you're a bit price sensitive, pick Sol. If you're very price sensitive, pick Terra or Luna."
AI News Without the Hype – Curated by Humans
Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.
Subscribe now
Auto-fetched and translated by AI Gem Box. All rights belong to the original author.