Pipes are ubiquitous in Unix --- but how fast can they go on Linux? In this post we'll iteratively improve a simple pipe-writing benchmark from 3.5GiB/s to 65GiB/s, guided by Linux `perf`.
時系列順になるんか
Exploring the tradeoffs of different database indexes; from sequential integers, randomly generated UUIDs, to time-based identifiers and the latest & greatest UUIDv7
Preferred Networks(PFN)は、130億パラメータの事前学習済み大規模言語モデル「PLaMo-13B(Preferred Language Model、プラモ)」を、研究・商用で利用可能なオープンソースソフトウェア(OSS)ライセンスで公開した。現在公開されている同規模のパラメータ数の事前学習済み言語モデルと比べ、大規模言語モデルのベンチマーク評価において、日英2言語をあわせた能力で世界トップレベルの性能を示しているという。
Workers AI: serverless GPU-powered inference on Cloudflare’s global network
We are excited to launch Workers AI - an AI inference as a service platform, empowering developers to run AI models with just a few lines of code, all powered by our global network of GPUs
Writing a Debugger From Scratch - DbgRs Part 5 - Breakpoints
(New to this series? Consider starting from part 1) At the end of the last post, we started to get some interesting functionality with the ability to resolve addresses to names in a module. This was the last functionality missing before we could implement breakpoints! This part adds the ability for DbgRs to set hardware breakpoints. The code for this post is in the part5 branch on github. You can also view the changes from part4.