Background
Academic research often need to screen effective information from a huge amount of information, the traditional search engine needs to click on the link to determine the relevance of the content one by one, the efficiency is low. genspark's intelligent body collaboration mechanism can automate this process.
Core Operating Procedures
- Precise questioning: Enter a specific research topic, e.g., "Advances in quantum computing for drug discovery and development" rather than "quantum computing" in general.
- Leveraging Sparkpage Features: The generated integration page will automatically categorize modules such as definitions, development history, latest papers, etc.
- cross-validation: Quickly locate the original document by using the source notation at the bottom of the page
- Continuous optimization:: Use of AI assistants for follow-up questions (e.g., "Please list the most important papers of the last three years.")
advanced skill
After registering an account, you can save key Sparkpage to form a personal knowledge base; search in English to access more internationalized academic resources.
This answer comes from the articleGenspark: deep search and writing of research reports based on Genspark intelligencesThe
May not be reproduced without permission:AI productivity tools " How to use Genspark to quickly improve academic research efficiency?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil