# Week 2 - Project Definition and Introduction to Fine-Tuning

#### This week you will...

* discuss the definition of your project for the course.
* discuss issues of Niels Rogge's video on Fine-Tuning

#### Learning Resources

{% file src="/files/H70h0PThQHwanya8Qa9l" %}

* &#x20;[Creating your own ChatGPT: Supervised fine-tuning (SFT)](https://www.youtube.com/watch?v=NXevvEF3QVI\&t=418s) from Niels Rogge

#### Until next week you should...

* [x] do a “literature review” for your project.
* [x] watch the first two chapters of [LLM Engineering: Structured Outputs](https://www.wandb.courses/courses/take/steering-language-models/)\
  (“Asking LLMs for Structured Data” and “Prompting LLMs”).
* [x] note a least one question on the videos above.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-1-general-introduction-1.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
