# 112-1 Intro to AI

Release Date: 2023/10/19
TA Hours: 2023/10/26 (Thr.) 13:00 - 14:00 (On site 知武401)
Due Date: 2023/11/07 21:00
**No late submissions will be accepted**

## Homework 3
In this assignment, we hope that you will become familiar with **prompts** and be able to utilize the **API of a Large Language Model** to solve **Natural Language Processing** tasks.

TA: 賴鴻昇 [e-mail]
Idea and code provider: 李朋軒

###### tags:`1121iai`

## Instructions
All the details are in Github: https://github.com/hongsheng-lai/nlp_lab

> Noted for API: We are willing to provide tokens for experiments related to the course and assignments. However, DO NOT use them for personal purposes.

## Files Structure
Please follow the format. If the format is wrong but the files are acceptible, you will get **minus 5 points** as a penalty.

{student_id}_hw3    # In lowercase
├── lab1_output
|   ├── ner__in-context_learning__en__2023_Hawaii_wildfires.txt
|   ├── ner__in-context_learning__en__Russo-Ukrainian_War.txt
|   └── ...
├── lab1_prompt # You can copy from `corpora/prompt` 
|   ├── ner__in-context_learning__en.txt
|   ├── ner__in-context_learning__zh.txt
|   └── ...
└── lab2_output
    ├── state
    |   └── save_1.json
    ├── summary_1.txt
    └── ...

# Zip it and Summit to NTU COOL
-> {student_id}_hw3.zip

## Reference

## Acknowledgement
Thank Li Peng-Hsuan 李朋軒, a machine learning and natural language processing engineer at Taiwan AI Labs, for helping establish the framework for this assignment.