GIGAZINE

A new inference engine called 'Colibrì' has emerged that can run the massive AI 'GLM-5.2,' with 744 billion parameters, on a regular PC with 25GB of memory.

Colibrì, an inference engine that runs the large-scale language model 'GLM-5.2,' which has 744 billion parameters, on a general-purpose PC with 25GB of memory, has been released. Instead of loading ...
note

Eliminating 'Over-engineering' in Python: Simplifying Implementations with functools.cache Instead of SQLite

This time, I would like to organize some thoughts on efficient cache implementation in Python and the trap of 'over-engineering' we often fall into, based on the article I Rewrote My Python Script ...
GitHub

code.jsonl

{"id": "code_001", "category": "code", "prompt": "Implement JWT authentication in FastAPI. Provide clean, runnable code.", "holdout": true} {"id": "code_002 ...
GitHub

Deep Reinforcement Learning-Based Cache Replacement Policy

We adopt a learning-based method to cache replacement strategy, aiming to improve the miss rate of existing traditional cache replacement policies. The main idea of modeling is to regard the strategy ...