FastCode, an open‑source framework from HKU’s DS team, builds semantic maps and structural graphs of codebases to let AI assistants answer queries up to four times faster, cut token usage by up to 44 %, and achieve higher accuracy across benchmarks, supporting multiple languages and deployment options.
The article examines two divergent AI programming tool strategies—model‑centric brute‑force scaling versus tool‑driven deterministic engineering—detailing Huawei Cloud CodeArts' semantic core, its indexing and execution mechanisms, experimental evaluations, and the resulting cost, performance, and reliability benefits for large‑scale software development.
This article explains how Kuaishou’s UniDex replaces traditional term‑based inverted indexes with model‑driven semantic posting lists and how the end‑to‑end UniSearch framework generates video IDs directly from queries, delivering higher relevance, lower latency, and significant online performance gains.
This paper presents the implementation and practice of generative retrieval based on Yuan large model in Tencent Advertising, addressing three key challenges: user intent capture, model alignment in advertising domain, and high-performance platform design under ROI constraints.
