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  • It's always TCP_NODELAY. Every damn time. - Marc's Blog

    About Me My name is Marc Brooker. I've been writing code, reading code, and living vicariously through computers for as long as I can remember. I like to build things that work. I also dabble in machining, welding, cooking and skiing. I'm currently an engineer at Amazon Web Services (AWS) in Seattle, where I work on databases, serverless, and serverless databases. Before that, I worked on EC2 and

    • Fugaku-LLM/Fugaku-LLM-13B · Hugging Face

      Fugaku-LLM利用規約\n この利用規約(以下「本規約」といいます)は、富士通株式会社、国立研究開発法人理化学研究所、国立大学法人東京工業大学、国立大学法人東北大学、株式会社サイバーエージェント、国立大学法人東海国立大学機構、及び株式会社Kotoba Technologies Japan (以下「開発者」といいます)による、スーパーコンピュータ「富岳」政策対応枠における大規模言語モデル分散並列学習手法の開発の成果物として公開する大規模言語モデル(以下「Fugaku-LLM」といいます)の利用に関する条件を定めるものです。Fugaku-LLMの利用者(以下「利用者」といいます)は、本規約に同意した上でFugaku-LLMを利用するものとします。 \n\n第1条(利用許諾) Fugaku-LLMの利用者は、本規約に従い、Fugaku-LLMを商用または非商用目的を問わず利用することができ

        Fugaku-LLM/Fugaku-LLM-13B · Hugging Face
      • Temporal Python 1.0.0 – A Durable, Distributed Asyncio Event Loop

        We are excited about the GA release of the Temporal Python SDK. Python is now a fully-supported workflow language in Temporal, and our use of native asyncio constructs makes it a perfect fit for Python developers looking to write durable workflows. Here are some links to read more about Temporal Python: Repository Application Development Guide Code Samples API Documentation Like essentially all of

        • Rust through the ages

          How has Rust changed over the years? It's been nine years since 1.0 was released (well, next week, technically). In that time, there have been 78 major releases and two editions, with a third due later this year. Quite a lot has changed! Those changes have been fairly incremental, so if you've been using Rust all that time, it probably doesn't feel like a lot. But comparing the 1.0 flavour of Rust

          • The API database architecture - Stop writing HTTP-GET endpoints

            The API database architecture - Stop writing HTTP-GET endpoints Table of contents Introduction Data retrieval via PostgREST, data modification in the existing backend Compatibility with REST, CQRS and GraphQL Strategies for adapting existing architectures Adapting a monolithic system with a single backend Adapting (domain-driven) microservices with one or more databases Benefits of the API databas

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