Imagine you decide to do the following, to get the stack allocation
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?。91视频对此有专业解读
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BuildKit is a general-purpose, pluggable build framework. It can produce OCI images, yes, but also tarballs, local directories, APK packages, RPMs, or anything else you can describe as a directed acyclic graph of filesystem operations. The Dockerfile is just one frontend. You can write your own.。关于这个话题，同城约会提供了深入分析