Classroom Teaching Implementation Guide
For classroom environments without a stable network connection, the following scenario can be deployed:
- Hardware preparation::
- Teacher's side: 1 x 32GB USB3.0 flash drive for programs and models (2 spares recommended)
- Student side: Older computers are fine (Windows required), test the model running speed in advance
- Instructional model design::
- Concept Explanation: Enter "Illustrate photosynthesis with examples that middle school students can understand" and projector to show generated results
- Group practice: students use their computers to ask questions that include key chapter words (e.g., "cell membrane").
- Homework aid: Instruct students to type in "Check this text for clauses and logic" after the draft for feedback.
- caveat::
- Advance download of fine-tuned models for specialized fields (e.g., the GGUF version of BioGPT) can improve accuracy
- It is recommended that the "randomness" parameter be turned off to make the generation more stable (requires modification of the configuration file).
- Important knowledge points should be manually validated to avoid complete reliance on model outputs
The solution was tested in schools in remote areas of Africa, increasing the amount of interactive questions asked in a non-networked classroom by 300%, and all the data stayed locally, complying with educational data protection requirements. Teachers can get better results by regularly updating the model file in the USB flash drive (1 time per semester).
This answer comes from the articleLocal LLM Notepad: A Portable Tool for Running Local Large Language Models OfflineThe
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