How AI is transforming analytics at Grab

grab技术

Gem Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model

meta技术

見守りパンダ降臨 ── Takumi Guardを全社展開

zozo技术

Agents, Loops, Graphs. Everything You Need to Know in One Place.

从基础问答到事实核查:高德内容数字员工实践

How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC execution API

netflix技术

面向多维场景的教育测评智能体:开发应用与效果验证

Kimi K3, explained: how forgetting made the biggest open model possible

22580: From GPT2 to Kimi3, Explained

Reducing Doom Loops with Final Token Preference Optimization

Scaling Grab's Data Lake: Our journey to Apache Iceberg adoption

grab技术

从知识到代码:AI 驱动的端到端开发流水线(下篇)

Introducing Kitesurf: The agent-first browser that runs in V8 isolates on Cloudflare Workers

cloudflare技术

角色边界重塑,全栈取代分工:快手 AI 生产力体系成形

Graph Engineering explained: what it is, when to use it and when not to

首页 - Wiki
Copyright © 2011-2026 iteam. Current version is 2.155.2. UTC+08:00, 2026-08-13 22:57
浙ICP备14020137号-1 $访客地图$