Unless, as with Nava, we teach them.
As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
，更多细节参见WPS官方版本下载
虽然豆包手机出师未捷身先残 ，但更深层次的思考是：既然 AI Agent 通过通过视觉感知（看屏幕）和模拟操作（点屏幕）就可以达到一切目的。那么 AI Agent 的载体可以是手机，也应该会有其他的形态吧？，推荐阅读爱思助手下载最新版本获取更多信息
2月27日，来自上海合作组织的嘉宾们在瑞金医院了解无创血糖仪。，详情可参考搜狗输入法下载