Three Innovative Uses of Multi-AI Collaboration in Corporate Training
DeepGemini is suitable for the following training scenarios:
- 1. Case StudiesSetting up three roles of "analyst", "manager" and "consultant", adopting SWOT mode to discuss business cases and output multi-dimensional analysis.
- 2. Character Chat: Simulate customer service scenarios, using Claude as the customer and DeepSeek as the customer service AI to train communication skills
- 3. knowledge assessment: Create a Q&A workflow that uses Gemini to generate questions before GPT-4 evaluates the quality of participants' answers
Landing Steps:
- Ensure High Availability with Docker Cluster Deployment
- Customize Chinese/English bilingual interface (.env set LANG=zh)
- Recording of discussions for training review
- Configure an exception alert mechanism (monitor ERROR level logs)
Best practice: export commonly used discussion templates as JSON files for easy reuse in different departments
This answer comes from the articleDeepGemini: Multi-model orchestration of tasks and encapsulation into an API interfaceThe
May not be reproduced without permission:AI productivity tools " How to apply DeepGemini's multi-model discussion feature in a corporate training scenario?
