Easy Dataset is designed to be compatible with all kinds of large language models, and this feature is reflected in three aspects:
- API Standard Adaptation: Fully compatible with OpenAI API format, including cue structure, parameter settings and return format.
- Multi-model support: can interface with API interfaces of mainstream LLMs such as GPT series, LLaMA, Claude, etc.
- Configuration Flexibility: Allow users to customize system prompts to adjust model output style
In terms of technical implementation, the tool is designed with a modularized architecture to handle the differences of different models through a unified interface specification. Users can seamlessly switch between multiple LLMs by simply providing API keys. This design greatly enhances the applicability of the tool, allowing it to adapt to training scenarios with different arithmetic requirements and budget constraints.
This answer comes from the articleEasy Dataset: an easy tool for creating fine-tuned datasets for large modelsThe
May not be reproduced without permission:AI productivity tools " Easy Dataset's model compatibility feature makes it suitable for mainstream LLM training frameworks
