MongoDB产品与工程高级副总裁Fred Roma表示:“客户在AI领域面临的最大挑战并非实验,而是大规模场景下的可靠运行。开发者希望减少冗余组件,让从原型到生产的路径变得更加清晰。随着新功能的发布,MongoDB再度拔高行业标杆,帮助企业团队降低技术复杂度,并专注打造能够在真实关键业务场景中稳定运行的AI应用。” ...
polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
一半攥在大模型手里,以一周一迭代、一月一颠覆的速度卷出了新高度:LMArena.ai 数据显示,自 2023 年年中起,SOTA(当前最优模型)的迭代周期被压缩至 35 天,短短 5 个月就可能跌出 Top5,7 个月后连 Top10 的门槛都摸不到。
Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.
A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...