Technological breakthroughs in heterogeneous AI collaboration
Chord innovatively implements the ability to invoke multiple AI models in parallel in the same session thread. With simple @tag commands, users can get the response outputs of different specialization models. For example, in a marketing scenario, @Gemini generates the creative solution, @Claude performs the logic validation, and @ChatGPT optimizes the expression to finally form the complete solution.
Core Technology Advantage
- Complementary modeling capabilities: leveraging different AI areas of expertise
- Cross-validation of results: improving the reliability of decision-making
- Choice of output styles: meeting diverse expression needs
Practical cases show that teams using multi-model collaboration in product design reviews save 401 TP3T of decision-making time over single-model scenarios, while reducing 301 TP3T of scenario rework. This model is especially suitable for complex decision-making scenarios that require professional advice from multiple perspectives.
This answer comes from the articleChord: a group chat tool for collaboration with AI and teamsThe
