azureai-foundry-finetuning-raft

A recipe that will walk you through using either Meta Llama 3.1 405B or OpenAI GPT-4o deployed on Azure AI to generate a synthetic dataset using UC Berkeley's Gorilla project RAFT method.

raft

View on GitHub

68 Stars

23 Forks

68 Watchers

Jupyter Notebook Language

mit License

Cost to Build

$173.5K

Market Value

$414.2K

How is this calculated?

Growth over time

1 data points · 2025-08-31 → 2025-08-31

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about azureai-foundry-finetuning-raft

Question copied to clipboard

What is the Azure-Samples/azureai-foundry-finetuning-raft GitHub project? Description: "A recipe that will walk you through using either Meta Llama 3.1 405B or OpenAI GPT-4o deployed on Azure AI to generate a synthetic dataset using UC Berkeley's Gorilla project RAFT method.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone azureai-foundry-finetuning-raft

Clone via HTTPS

git clone https://github.com/Azure-Samples/azureai-foundry-finetuning-raft.git

Clone via SSH

[email protected]:Azure-Samples/azureai-foundry-finetuning-raft.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the azureai-foundry-finetuning-raft issue tracker:

Open GitHub Issues

Similar to azureai-foundry-finetuning-raft

etcd tikv hraftd elasticell permazen patroni rqlite atomix raft-zh_cn summitdb braft logcabin awesome-consensus tidis raft.github.io copycat finn raft-rs PySyncObj dissertation distributed-computing Mushroom raftos raft-java floyd raft xenon ra x0 verdi-raft