
oreilly_live_training_llm_apps
Notebooks for the live trainining about llm app development
Stars: 73

This repository provides resources and notebooks for building text-based applications using the ChatGPT API and Langchain. It includes guides on prompt engineering, fine-tuning ChatGPT, using LangChain, and creating applications like a quiz generator and notes summarizer. The repository aims to help users understand and implement various natural language processing tasks with pre-trained language models.
README:
Conda
- Install anaconda
- This repo was tested on a Mac with python=3.11.
- Create an environment:
conda create -n oreilly-chatgpt-apps python=3.11
- Activate your environment with:
conda activate oreilly-chatgpt-apps
- Install requirements with:
pip install -r requirements/requirements.txt
- Setup your openai API key
Pip
-
Create a Virtual Environment: Navigate to your project directory. Make sure you have python 3.11 installed! If using Python 3's built-in
venv
:python -m venv oreilly-chatgpt-apps
If you're using
virtualenv
:virtualenv oreilly-chatgpt-apps
-
Activate the Virtual Environment:
-
On Windows:
.\oreilly-chatgpt-apps\Scripts\activate
-
On macOS and Linux:
source oreilly-chatgpt-apps/bin/activate
-
On Windows:
-
Install Dependencies from
requirements.txt
:pip install python-dotenv pip install -r requirements.txt
-
Setup your openai API key
Remember to deactivate the virtual environment once you're done by simply typing:
deactivate
- Change the
.env.example
file to.env
and add your OpenAI API key.
pip install jupyter
python3 -m ipykernel install --user --name=oreilly-chatgpt-apps
Here are the notebooks available in the notebooks/
folder:
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
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