This article explores five Python decorators that can be used to optimize LLM-based applications. These decorators leverage libraries like functools, diskcache, tenacity, ratelimit, and magnetic to address common challenges such as caching, network resilience, rate limiting, and structured output binding. The article provides code examples to illustrate how each decorator can be implemented and used to improve the performance and reliability of LLM applications.
This article details the design and construction of a 512-bit magnetic core memory system running at 200kHz, including the challenges faced, scaling techniques, and practical advice for building your own system.
Han has created a 512-bit magnetic core memory module and documented the process, including wiring details and oscilloscope traces. The module has passed extensive testing, demonstrating the reliability of ferrite memory. The article details the principles of magnetic core memory and provides links to resources for building your own.
