Supercharging Small Models with Grounding DINO, SAM, and AutoDistill for Dataset Creation

How we used Macros to Promote MVVM architecture adoption

duolingo技术

Build a bento layout with CSS grid

Agents 2.0: From Shallow Loops to Deep Agents

Grab's service mesh evolution: From Consul to Istio

grab技术

Type Checking is a Symptom, Not a Solution

Kimi-Researcher End-to-End RL Training for Emerging Agentic Capabilities

Building Uber’ s Data Lake: Batch Data Replication Using HiveSync

uber技术

Lightning-Fast Data Analysis: Building a Data Analyst AI agent using OpenAI Function Calling

Beyond Query Optimization: Aurora Postgres Connection Pooling with SQLAlchemy & RDSProxy

lyft技术

FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning

netflix技术

Context Engine. Now with Full Commit History

augment code技术

Reinforcement Learning for Modeling Marketplace Balance

uber技术

How to Build an Agent

What we learned from creating PostCSS

首页 - Wiki
Copyright © 2011-2025 iteam. Current version is 2.148.1. UTC+08:00, 2025-12-01 15:12
浙ICP备14020137号-1 $访客地图$