Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
在当今的信息化社会中，大量的数据不断生成与积累，尤其是文本数据。文本数据中蕴含着丰富的信息，如人物、地点、机构等实体，及其相关属性。实体识别（Named Entity Recognition, NER）是自然语言处理（NLP）中的一项基础任务，旨在识别文本中具有特定意义的实体，并分类到预先定义的类别。随着人工智能技术的发展，尤其是大模型如BERT、GP… Official track: 大模型技术. Sponsor: 科大讯飞股份有限公司. Teams entered: 394.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic familiarity with LLM tooling or agent/skill workflows
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Jul 23, 2024