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摘要:
围绕 GPT-4,我们集中讨论了以下几个问题:
- 对模型能力演变和边界的思考:包括 GPT-4 发布后有哪些新技术导入、解锁了哪
些新能力、带来哪些新机会、从应用/算力/infra/研究上的变化,以及未来的演变走
向、关键要素、带来哪具体的影响/案例/新机会,还有 LLM 的能力边界;
- 对 AI Native Apps 的思考:包括应用 LLM 的什么好案例、什么特点、关键要素是
什么、看好哪些垂类应用、壁垒,应该怎么做 AI Native Apps 等;
- 对模型格局的思考:OpenAI 一家独大,还是多寡头,模型和应用的关系,垂直应
用都要拥有自己的模型,还是基于 OpenAI 开发;
- LLM 相关的非共识判断。
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yes,of course