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- 1Engineer implements KV cache in custom GPT to learn prompt caching●いくら艦長とはいえ、charについてはただ見守るしかないかもしれません 自作GPTにKVキャッシュを実装し、プロンプトキャッシュの仕組みを学んだ - $shibayu36->blog; https:// blog.shibayu36.org
Japanese software engineer shibayu36 has published a blog post describing how he implemented a KV cache in his self-built GPT model, using the exercise to learn how prompt caching works in large language model inference. The writeup walks through the mechanics of caching attention key-value pairs to speed up generation. It is being shared among developers interested in LLM internals and practical implementations of transformer optimization techniques.
- 2MLC Releases TIRx, an Open Compiler Harness for AI-Driven GPU Programming●TIRx Harness: An Open Compiler Harness for Agentic GPU Programming
The MLC team has announced TIRx Harness, an open-source compiler harness designed for agentic GPU programming, letting AI agents generate and optimize GPU kernels through a compiler-driven workflow. The release, detailed on the MLC blog, is drawing attention from developers interested in combining large language models with low-level performance engineering and open compiler infrastructure.