# Week 2 - Prompt Engineering

#### Session Content

* Quiz
* Homework presentation
* Short recap on intro to LLMs & prompt engineering
* Breakout session on prompt hubs
* Anatomy of an app
* Breakout session on project ideas
* Presentation of project ideas and default projects
* Homework for next week

#### Session Slides

{% file src="<https://4020123021-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MHobCAnoTQkN71lOgdv%2Fuploads%2Ff6rX8J5f2Kh14gWajOYk%2F231107_PromptEngineering.pdf?alt=media&token=8a4f38d2-096a-4ca0-83d1-81949c469241>" %}

#### Todo until next session

* Watch the short course ["LangChain for LLM Application Development"](https://learn.deeplearning.ai/langchain) (\~1h 40min)
* If the videos ["Question and Answer"](https://learn.deeplearning.ai/langchain/lesson/5/question-and-answer) and ["Evaluation"](https://learn.deeplearning.ai/langchain/lesson/6/evaluation) are too confusing for you right now, as they introduce a lot of concepts in a short amount of time, you can skip these videos as this content will also be part of later sessions.
* Work through the Jupyter notebook ["HomeworkLangChain"](https://colab.research.google.com/drive/1XcJ2VyTnxxk_1fngRXcHSg6YJq39bjnm?usp=sharing) and complete the tasks at the bottom of the notebook.

{% file src="<https://4020123021-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MHobCAnoTQkN71lOgdv%2Fuploads%2FBBGg6IhQUpBSDqnj4zwN%2FHomeworkLangChain.ipynb?alt=media&token=d79bd48f-f8f0-4a61-b1ea-94b2cf5f6141>" %}

["Colab Link HomeworkLangChain"](https://colab.research.google.com/drive/1XcJ2VyTnxxk_1fngRXcHSg6YJq39bjnm?usp=sharing) (Copy the notebook to your Google Drive before working on it.)