We expect these to sell out very soon, so act fast to secure this low price.
"objectives": [
，这一点在旺商聊官方下载中也有详细论述
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
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?
I’ll definitely take those results with this unoptimized prompting pipeline! In all cases, the GPU benchmarks are unsurprisingly even better and with wgpu and added WGSL shaders the code runs on Metal without any additional dependencies, however further testing is needed so I can’t report numbers just yet.