前沿模型越来越贵还被禁，自己微调Llama或Qwen更可控，一次性投入省月费，数据也安全。
前沿模型成本上升、令牌使用量攀升以及近期禁令，使企业自建AI变得更加必要。通过下载Llama或Qwen等开源模型，使用LoRA在自有数据上微调，部署在自有基础设施，可一次性计算成本取代按席收费。Hugging Face和LoRA已降低技术门槛，关键在于管理层是否将其视为基础设施投资而非普通软件开支。
With costs rising, token usage climbing, and recen…
With costs rising, token usage climbing, and recent bans on frontier models, post-training your own open-source model is looking less like a nice-to-have and more like the only sustainable path forward.
Download an open model like Llama or Qwen, fine-tune it on your data, host it on your own infrastructure. One-time compute cost instead of ongoing per-seat fees. Full control with no risk of access getting cut when geopolitics shift.
The barrier isn't technical anymore. Hugging Face and LoRA have made this accessible. It's whether leadership sees custom AI as infrastructure investment or just another software expense. 🤔
For businesses that need AI but can't justify frontier pricing or can't rely on consistent access, this might be the only practical option that actually s cales.