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 ...
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 ...
{"id": "code_001", "category": "code", "prompt": "Implement JWT authentication in FastAPI. Provide clean, runnable code.", "holdout": true} {"id": "code_002 ...
Hello! Welcome to the 27th session of the Python Master Course. In the previous Lesson 26, we learned about generators and lazy evaluation. This time, it's decorators. "I want to measure the execution ...
When a cache miss fetches from cloud object storage (S3 / GCS / Azure Blob), you are billed per GET request and per byte of egress — not in latency. Classic caching (LRU, Belady) minimizes miss rate, ...
For categories where small models are unreliable, we augment the model with deterministic tools rather than spending tokens: mathematical problems are translated into Python and executed for exact ...
Built entirely in asynchronous Python to ensure high-throughput execution within strict 10-minute timeout constraints, the system operates as a smart gateway between local edge computing and the ...
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