The AI/ML Evaluation Framework's own repository, 5G-MAG/rt-ai-ml-evaluation-framework, is currently private, so this page cannot yet walk through AI/ML-specific commands against it. What you can run today is the shared 6G Testbed, which the AI/ML Evaluation Framework builds on for network emulation and AI traffic characterisation.
Quickstart: run the shared 6G Testbed today
- Read the 6G Testbed scope page for the testbed's two building blocks (network emulator and AI traffic characterisation framework) and how they fit together.
- Follow the Introduction to the 6G Testbed tutorial, a video walkthrough of both parts running together.
- Clone 5G-MAG/6G-Testbed and follow its README for setup instructions and running a scenario against an emulated network profile.
AI/ML-specific quickstart: coming once the repository is public
5G-MAG/rt-ai-ml-evaluation-framework is currently private. Once it is public, this page will be updated with a step-by-step quickstart specific to the AI/ML Evaluation Framework itself (benchmarks, datasets, and how they connect to the 6G Testbed's traffic-characterisation output). This is a known gap, not an oversight: in the meantime, request early access to the repository, or check the Resources page for its current public/private status.
See the Scope page for what the framework covers.
Developer Exchange
No AI/ML Evaluation Framework-specific videos are curated here yet. In the meantime, here's what's recent from the wider Developer Exchange:
Connecting MBSTF to the MBS System - Developer Exchange
Introducing the Avatar Real-Time Communication Project - Developer Exchange
5G Media Streaming: Latest Additions - Developer Exchange
MBS User Services for 5G MBS (Release 18) - Developer Exchange
Advanced Media Delivery: CMCD Metrics in Action - Developer Exchange
Initial steps exposing APIs to AI systems through the MCP - Developer Exchange