Natural Language Processing in Sichuan

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Natural Language Processing

Mianyang , Sichuan , China |

Part-Time / Offline Teaching

6000-8000 USD / Per Course

Air Ticket Visa Provided Commercial MedicalInsurance Accommodation Provided

Basic Info

Course Name: Natural Language Processing

Students: Undergraduate Students

Class Size: 80-100 students

Location: A public university in Mianyang City, Sichuan China

Teaching Period: 8 Weeks -10 Weeks

Contract: One Semester

Course Description

This course is designed for master's degree students in artificial intelligence and systematically builds the theoretical system and technology stack of natural language processing (NLP). The course covers traditional methods such as lexical analysis, syntactic parsing, and semantic role labeling, with a focus on delving into cutting-edge technologies such as pre-trained language models (BERT, GPT series), Prompt Learning, human feedback reinforcement learning (RLHF), and multimodal large models. Combining typical tasks such as machine translation, text summarization, intelligent question answering, sentiment analysis, and alignment of large language models (LLMS), this paper analyzes the Transformer architecture, attention mechanism, and efficient fine-tuning strategies (LoRA, Q-LoRA). Through the practice of the PyTorch framework, students are guided to master the full-process development capabilities from data preprocessing, model construction to instruction fine-tuning and inference acceleration, laying a solid foundation for NLP scientific research innovation and industrial application.

Job Highlights

1. Visa application fee reimbursement

2. Free round trip air tickets

3. Free accommodation

4. Medical Insurance

Job Responsibilities

1. Make a curriculum plan according to the requirements of the university, prepare lesson plans carefully, teach flexibly, and accomplish teaching tasks and goals efficiently;

2. Submit teaching documents regularly according to university's requirements based on the teaching progress, including course notes, slides, classroom exercises, and homework;

3. According to the university’s exam regulations, submit exam papers on time and assist the university in completing invigilation, grading, timely complete student grade registration and feedback reports.