Data & Research · GitHub ·78 ★

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.

Details

Author
Azure-Samples
Category
Data & Research
Platform
GitHub
Framework
openai
Language
jupyter notebook
Stars
78
First indexed
2026-05-15
Last active
2025-07-17
Directory sync
2026-05-15

Overview

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.

Quick start

git

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

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What azureai-foundry-finetuning-raft can do

  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Recipe — recipe task automation.

Frequently asked questions

What is 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.
How do I install azureai-foundry-finetuning-raft?
Use git: `git clone https://github.com/Azure-Samples/azureai-foundry-finetuning-raft`. Full setup details on the source page linked above.
Is azureai-foundry-finetuning-raft open source?
azureai-foundry-finetuning-raft is published on GitHub.
What are alternatives to azureai-foundry-finetuning-raft?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for azureai-foundry-finetuning-raft is sourced from GitHub, published by Azure-Samples.

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