Anthropic 还推出十余个覆盖金融、法务、HR、设计等领域的预制插件，并开放私有插件市场，让企业可按需构建内部工具体系。
BYOB (bring your own buffer) reads were designed to let developers reuse memory buffers when reading from streams, an important optimization intended for high-throughput scenarios. The idea is sound: instead of allocating new buffers for each chunk, you provide your own buffer and the stream fills it.
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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?
对山西的转型发展，强调既要“坚定”又要“有序”，“注重新旧动能转换的过渡和衔接，以新化旧、循序渐进，不要一哄而上，‘金娃娃’还没抱上就先把吃饭的家伙扔了”；