To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
This Pull Request introduces a comprehensive update to your project's documentation, autogenerated by Undoc.ai. This enhancement aims to increase the documentation's clarity and depth.
What does this PR do?
Integrates AI-generated, detailed documentation directly into your codebase.
Provides precise descriptions and insights for modules, classes, and functions.
Clearly depicts dependencies and their interrelationships.
Why is this important?
Enhanced Clarity: Enhances the accessibility and understandability of your codebase.
Time Efficiency: Reduces the effort required for manual documentation.
Consistency: Maintains uniform documentation standards throughout the project.
Changes
List of files/folders where documentation has been updated:
__init__.py
version.py
prompt_compressor.py
setup.py
How to Review
Review the updated documentation for accuracy and completeness.
Ensure that the documentation aligns with your project's coding standards.
Confirm that the documentation integration has not altered the functionality of your code.
Additional Notes
The documentation will receive periodic updates in line with the evolution of your codebase, thanks to Undoc.ai's continuous integration capabilities. (coming soon)
Your feedback on this documentation update is invaluable.
Autogenerated Documentation Update via Undoc.ai
Overview
This Pull Request introduces a comprehensive update to your project's documentation, autogenerated by Undoc.ai. This enhancement aims to increase the documentation's clarity and depth.
What does this PR do?
Why is this important?
Changes
List of files/folders where documentation has been updated:
__init__.py
version.py
prompt_compressor.py
setup.py
How to Review
Additional Notes
Your feedback on this documentation update is invaluable.