https://github.com/agnostiqhq/tutorials_covalent_pycon_2024
https://github.com/agnostiqhq/tutorials_covalent_pycon_2024
agents ai ai-foundry autonomous-agents chatgpt covalent gpu hpc huggingface large-language-models llama llamacpp llm ml vllm
Last synced: 23 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/agnostiqhq/tutorials_covalent_pycon_2024
- Owner: AgnostiqHQ
- Created: 2024-05-14T14:15:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-22T22:58:09.000Z (over 1 year ago)
- Last Synced: 2025-09-08T21:04:58.313Z (28 days ago)
- Topics: agents, ai, ai-foundry, autonomous-agents, chatgpt, covalent, gpu, hpc, huggingface, large-language-models, llama, llamacpp, llm, ml, vllm
- Language: Jupyter Notebook
- Homepage: https://www.covalent.xyz/
- Size: 2.03 MB
- Stars: 2
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Zero-Data AI Model Foundry
This repository contains a [*Covalent Cloud*](https://www.covalent.xyz/cloud/) Jupyter notebook that creates an AI model foundry for zero-data fine-tuning.
## Context
The example here was prepared for [PyCon 2024](https://us.pycon.org/2024/) in Pittsburgh, PA.
## Instructions
### To follow along
Open the Jupyter notebook in your browser (or in an IDE).
```
jupyter notebook zero-data-model-foundry.ipynb
```
### To run the notebook
**Running the notebook requires a [Covalent Cloud account](https://app.covalent.xyz/register).**
1. Log in and copy your API key from the Covalent Cloud dashboard. Paste the key as the value `CC_API_KEY` in the `environment.yml` file.
2. Create a conda environment using the `environment.yml` file.
```
conda env create -f environment.yml
```
3. Active the environment.
```
conda activate covalent-pycon-2024
```
4. Open the Jupyter notebook in your browser (or in an IDE).
```
jupyter notebook zero-data-model-foundry.ipynb
```