Structured data output to meet AI modeling needs
Designed for large language models, Free-Search's data processing mechanism is capable of transforming cluttered web content into a machine-readable, standardized format. Each search result contains three core dimensions:
- Name of source website (source)
- Original link
- Content summary (context)
The system supports content length adjustment from 100-5000 characters and information density control through max_content parameter. When applied to AI training, developers can accurately configure the amount of data according to the size of the model input window to avoid information truncation problems.
Tests show that in the GPT model fine-tuning task, using the data provided by Free-Search improves the training efficiency by 351 TP3T due to the high fit between its data structure and the model input format.
This answer comes from the articleFree-Search: API tool for free access to real-time Google search resultsThe
