In this section, you are going to learn to use AI techniques for research. Before the class meeting, you should install Jupyter Notebook and Python in your computer
Create three different prompts following the instructions and examples provided below. And submit all the prompts used, along with the final outcomes (WORD). Additionally, the intention or reason behind each prompt should be addressed in your WORD report.
1) Search for a couple of concepts that interest you.
Ex) what are the differences between ML and DL? what is the relationship between Large Language Models (LLMs) and Natural Language Processing NLP)?
The concepts you search for should be those for which you can readily find information through a typical internet search.
2) Make a table that shows interesting facts.
Ex) compare the financial performance of LVMH and Kering over the last five years in a table format.
3) Generate a Python code and execute it in Jupyter Notebook.
The instructions also show how to run a Python code and install packages through Jupyter Notebook.
Ex 1) generate a Python code that shows U.S stock market trends in the past 10 years in a graphical format.
You need to submit the outcomes from Jupyter Notebook as well.
