Dimensional breakthroughs in results delivery
The framework redefines the presentation of research results and supports the intelligent transformation of four types of output forms:
- Structured document: academic report in Markdown/PDF format with standard table of contents and bibliography
- Presentation: Converted to conference-grade PPT by Marp engine, automatically adapted to corporate VI templates
- Voice Podcasting: Call Volcengine TTS API to generate audio files with adjustable speech rate/pitch
- Interactive code: preserving complete reproducible Python analysis scripts and datasets
In the educational application scenario, teachers input the request of "machine learning syllabus", and the system will synchronize the generation of three forms of content: lecture notes, classroom slides and preview podcasts. This multimodal output enables a single study to serve different usage scenarios and avoids repeated processing and loss of results.
This answer comes from the articleDeerFlow: an open source automated framework for deep researchThe
May not be reproduced without permission:AI productivity tools " DeerFlow's Multimodal Output Capabilities Create a New Paradigm in Research Tools
