最大化进入大型人工智能公司的机会
我在考虑申请Anthropic。我正在查看一些他们可能期望优秀候选人完成的“代表性项目”。
链接：https://job-boards.greenhouse.io/anthropic/jobs/4632830008
> 实现低延迟高吞吐量的大型语言模型采样
> 构建系统性能的定量模型
> 设计并实现一个在复杂网络拓扑下运行的容错分布式系统
> 在容器化环境中调试内核级网络延迟峰值
我在一家FAANG公司工作，但对这些项目几乎没有经验。我已经询问了ChatGPT，并列出了一些迷你项目。我计划每天花几个小时来提升自己的能力。
大多数成功申请者通常都有这类项目的经验吗？
这对我来说感觉有点像一个鸡与蛋的问题，因为我想在这里工作的原因恰恰是为了获得这个领域的经验。
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I was thinking about applying to Anthropic. I'm looking at some of the "representative projects" that they presumably expect strong candidates to have done.<p>https://job-boards.greenhouse.io/anthropic/jobs/4632830008<p>> Implement low-latency high-throughput sampling for large language models
> Build quantitative models of system performance
> Design and implement a fault-tolerant distributed system running with a complex network topology
> Debug kernel-level network latency spikes in a containerized environment<p>I work at a FAANG and I have little to no experience with any of these. I've asked chatgpt and come up with a list of mini-projects. I plan to devote a few hours every day to build up the muscle.<p>Do most successful applicants typically have experience with these kinds of projects?<p>It feels like a bit of a chicken-and-egg problem to me, as the reason I'd like to work there is precisely to get experience in this domain.