整体来看，不单是Workday，整个软件行业基本面临共同的挑战：将AI的炒作转化为实际的收入增长。
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?
。heLLoword翻译官方下载对此有专业解读
每年冬天工廠的天然氣供應會被切斷數日甚至數週；天氣較熱時則面臨停電。大城市的居民也經常得忍受住宅停電或飲用水遭到中斷。
(save $7.99/month)
。业内人士推荐WPS下载最新地址作为进阶阅读
清晨6点半，路边小摊前，格雷格从摊主手中接过刚出炉的煎饼果子，金黄酥脆、香气扑鼻。“听说天津人早餐爱吃这个，我特意来排队。”他边吃边说，“天津人很热情。煎饼摊主告诉我，他每天凌晨三四点起床，20多年来靠这门手艺养家，虽然辛苦，但日子过得踏实。这让我体会到中国人的勤劳乐观。”。业内人士推荐夫子作为进阶阅读
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.