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Challenge

Grok-2 & LangGraph: DMCA Violation Detection

Build an AI system to automatically detect potential DMCA violations on YouTube using Grok-2 and LangGraph. Grok-2's advanced reasoning and prompt engineering capabilities will be used to analyze video descriptions, comments, and metadata. LangGraph will create a graph-based workflow to manage the analysis process, linking videos to potential infringing content, and leveraging chain-of-thought prompting for detailed reasoning. The system should output a report identifying potential violations and providing supporting evidence.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Develop a graph-based system using Grok-2 and LangGraph for automatic DMCA violation detection.

Delivery guide

How work is evaluated

Evaluation

Evaluate the system's accuracy in identifying DMCA violations and the clarity of its reports.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Learning goals

What you should walk away with

  • Design a LangGraph workflow for DMCA violation detection.

  • Implement Grok-2 for analyzing video content and metadata.

  • Develop a system for identifying and reporting potential violations.

  • Utilize chain-of-thought prompting for detailed reasoning.

  • Evaluate the system's accuracy and efficiency.

Resources and assets

Reference links and supporting material

Dataset notes

Sample data for 1 tasks

Challenge setup

Evaluate the system's accuracy in identifying DMCA violations and the clarity of its reports.

Challenge input

YouTube video URL

Agent execution

No agent tool is listed for this challenge.

Evaluated output

JSON report identifying potential violations and providing supporting evidence.

Evaluation checks
  • Checks if the system correctly identifies known violations.
Configured evaluation evidence
  • Precision target: 0.85
Configured runtime
  • Python execution harness

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

No tool records are attached.

Evaluation contract

  • Checks if the system correctly identifies known violations.

Metrics

  • Precision ยท Target 0.85

Workflow tasks

  1. Task 1

    Input: YouTube video URL

    Output: JSON report identifying potential violations and providing supporting evidence.

    Execution harness: Python

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Grok-2 & LangGraph: DMCA Violation Detection