Problem analysis
Large pages (e.g., long articles, multi-image pages) may cause processing delays or truncated content.
Optimization solutions
- chunking: Spegel has a built-in chunking mechanism that can be parameterized through a configuration file:
[processing](Unit: characters)
chunk_size=2000overlap=200(Ensure contextual coherence between chunks)
- Model Selection::
- Local lightweight models: e.g.
gemini-flash-liteSuitable for rapid response - High-performance models in the cloud: for high quality requirements
gpt-4-turbo
- Local lightweight models: e.g.
- Pretreatment filtration: Add in the cue word
忽略广告和导航栏etc. directives to reduce invalid content.
Hardware Recommendations
If large web pages are processed frequently:
1. Setting up for Pythonexport TOKENIZERS_PARALLELISM=trueaccelerated participle (computing)
2. Use SSD storage to reduce IO latency
3. Consider GPU acceleration (requires installation of CUDA version of torch)
This answer comes from the articleSpegel: using AI to transform web pages into an end-to-end browsing experienceThe
May not be reproduced without permission:AI productivity tools " How can I improve Spegel's performance issues when dealing with large web pages?
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