GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte
# OverviewIn this post I will use a simple HTTP benchmark to do a head-to-head performance comparison between the Linux kernel's network stack, and a kernel-bypass stack powered by DPDK. I will run my tests using Seastar, a C++ framework for building high-performance server applications. Seastar has support for building apps that use either the Linux kernel or DPDK for networking, so it is the per
With pen and paper, anyone can write a journal entry, draw a diagram, perform a calculation, or sketch a cartoon. Digital tablets like the iPad or reMarkable can adapt pen and paper into the world of digital media. In doing so, they trade away some of paper’s advantages like cheapness and tangibility. In exchange, we get new computational powers like nondestructive editing and ease of transmission
Large language models display impressive capabilities. However, for the most part, the mechanisms by which they do so are unknown. The black-box nature of models is increasingly unsatisfactory as they advance in intelligence and are deployed in a growing number of applications. Our goal is to reverse engineer how these models work on the inside, so we may better understand them and assess their fi
Amazon Bedrockの基本情報とRuntime APIの実行例まとめ － 参考資料、モデルの特徴、価格、使用方法、トークンと推論パラメータの説明 - NRIネットコムBlog
小西秀和です。 今回は2023-09-28にGeneral Availability(GA)になったAmazon Bedrockの基本情報、Runtime APIの実行例についてまとめました。また、トークンやパラメータのイメージをつかむための必要最小限の用語説明も所々入れています。 最終更新日：2024/06/21 ※AWS re:Invent 2024後の2024年末時点におけるAmazon Bedrockのモデル一覧は以下の記事で紹介しています。 Amazon Bedrock Models as of 2024 - An Analysis of the Comprehensive Model Catalog ※本記事および当執筆者のその他の記事で掲載されているソースコードは自主研究活動の一貫として作成したものであり、動作を保証するものではありません。使用する場合は自己責任でお願い致しま
Hypershell: A Type-Level DSL for Shell-Scripting in Rust | Context-Generic Programming
Discuss on Reddit, Lobsters, and Hacker News. Summary I am thrilled to introduce Hypershell, a modular, type-level domain-specific language (DSL) for writing shell-script-like programs in Rust. Hypershell is powered by context-generic programming (CGP), which makes it possible for users to extend or modify both the language syntax and semantics. Table of Contents Estimated reading time: 1~2 hours
IntroductionIn this article I describe a simple architecture for an early stage SAAS. As a solo founder, I report some choices made to launch Feelback, a small-scale SAAS for collecting users signals about any content. This article will cover the technical side of designing and running a simple SAAS. It will also include some details about coding and evolving the initial feature set ready at launc
Text2Landscape: Visualize a Text in Multiple Spaces with R — Force-directed networks, Biofabric, Word Embeddings, Principal Component Analysis and Self-Organizing Maps
First Visualizations: Frequencies Let us first visualize word frequencies. We can get these frequencies with the quanteda package, which implies transforming the column of lemmas (text.lemmas$lemma) into a quanteda tokens object, then to a document-feature matrix. Doing so, we only retain significant parts of phrases (nous, proper nouns, verbs and adjectives). This only partially spares us the tas
Using Zig in our incremental Turborepo migration from Go to Rust - Vercel
We’ve been porting Turborepo, the high-performance build system for JavaScript and TypeScript, from Go to Rust. We talked about how we started the porting process, so now let’s talk about how we began porting our two main commands: run and prune. Since last timeWhen we last left off, we had begun our port by implementing global turbo and command line argument parsing in Rust. Because of issues aro
Performance tuning using Criterion.rs and flamegraphs Performance is one of the top reasons developers choose Rust for their applications. In fact, it's the first reason listed under the "Why Rust?" section on the rust-lang.org homepage, even before memory safety. This is for good reason too--many benchmarks show that software written in Rust is fast, sometimes even the fastest. This doesn't mean
Since this was written, OpenAI has discontinued ChatGPT Plugins and launched custom GPTs. Find more information about the Wolfram GPT here: https://gpt.wolfram.com. In Just Two and a Half Months… Early in January I wrote about the possibility of connecting ChatGPT to Wolfram|Alpha. And today—just two and a half months later—I’m excited to announce that it’s happened! Thanks to some heroic software
AST vs. Bytecode: Interpreters in the Age of Meta-Compilation
233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete
Most of my readers are probably familiar with procedural programming, object-oriented programming (OOP), and functional programming (FP). The majority of top programming languages on all of the language popularity charts (like TIOBE) support all three to some extent. Even if a programmer avoided one or more of those three paradigms like the plague, they’re likely at least aware of them and what th
Masato Hagiwara Open in Recto Pad Google Colab Github Recto Pad TL;DR Recto is a 2D programming language that uses nested rectangles as its core syntax, encoding structure and recursion directly in space instead of a linear stream of text. Recto explores new ways to write, parse, and reason about code—and even natural language—spatially. Introduction Open in Recto Pad Virtually all the languages w
Today we’re excited to announce the release of TypeScript 5.5! If you’re not familiar with TypeScript, it’s a language that builds on top of JavaScript by making it possible to declare and describe types. Writing types in our code allows us to explain intent and have other tools check our code to catch mistakes like typos, issues with null and undefined, and more. Types also power TypeScript’s edi
Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro
Stop using Brave Browser
The Brave web browser has carved out a niche over the past few years as an alternative to Google Chrome, Mozilla Firefox, and other mainstream web browsers. Some of that has come from its marketing as a privacy-preserving web browser, and it has also been repeatedly evangelized by cryptocurrency enthusiasts. If someone recommends Brave to you, you should ignore them, because they are wrong. Brave
Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”
Toggle dark mode I may be late to the party, but LangGraph lets you build complex workflow architectures and codify them as powerful automations. Also LLMs, if you want. But you don’t have to! LLM Architecture I always liked the idea of “flow-based” programming. PureData, DaVinci Resolve, Node Red... they all appeal to me. I also always liked the idea of running LLMs locally, rather than spending
How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language? Yoshua Bengio, Yann LeCun, and Geoffrey Hinton are recipients of the 2018 ACM A.M. Turing Award for breakthroughs that have made deep neural networks a critical component of computing. Research on artificial neural networks was motivated by the observa
Robin Marx is a Web Performance Architect at Akamai Technologies. His main expertise is in network protocol performance, including HTTP/3 and QUIC, which was the topic of his PhD research. In a previous life he was a multiplayer game programmer and co-founder of LuGus Studios. YouTube videos of Robin are either humoristic technical talks or him hitting other people with longswords. Time-To-First-B
Cold starts are a huge roadblock for a fast user experience with serverless applications — but also inherently unavoidable. Let's explore what contributes to cold starts and how we made every serverless app built using Prisma ORM even faster. Table of contents Enabling developers to reap the benefits of Serverless & Edge The dreaded cold start 🥶 They are inherently unavoidable They have a real-wo
Designing a Dataflow Editor With TypeScript and React | Protocol Labs Research
This is a design report – a story about the tradeoffs and challenges that we encountered while building a medium-complexity React component in TypeScript. These include state modeling (“making illegal states unrepresentable”) basic type-level programming in TypeScript DX patterns for generically typed React components DX patterns for reusable controlled components using a Redux-like action/dispatc
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU Instance
The main takeaway from this post should be an appreciation for the tools and techniques that can help you to profile and improve the performance of your systems. Should you expect to get 5x performance gains from your webapp by cargo-culting these configuration changes? Probably not. Many of these specific optimizations won't really benefit you unless you are already serving more than 50k req/s to
How a simple Linux kernel memory corruption bug can lead to complete system compromise
In this case, reallocating the object as one of those three types didn't seem to me like a nice way forward (although it should be possible to exploit this somehow with some effort, e.g. by using count.counter to corrupt the buf field of seq_file). Also, some systems might be using the slab_nomerge kernel command line flag, which disables this merging behavior. Another approach that I didn't look
Today we are excited to announce the availability of TypeScript 5.5 Beta. To get started using the beta, you can get it through NuGet, or through npm with the following command: npm install -D typescript@beta Here’s a quick list of what’s new in TypeScript 5.5! Inferred Type Predicates Control Flow Narrowing for Constant Indexed Accesses Type Imports in JSDoc Regular Expression Syntax Checking Iso
1. Techempower Rankings
25 October 2020 On Javascript Performance 1. Techempower Rankings by billwhizz Why is Javascript in the top 2 of techempower? This question was recently asked on github, prompted by the arrival of a new javascript platform near the summit of the intermediate techempower rankings. This platform, Just(js), is something I have been hacking on as a side-project for some time now. Here I will attempt t
ZJIT is a new just-in-time (JIT) Ruby compiler built into the reference Ruby implementation, YARV, by the same compiler group that brought you YJIT. We (Aaron Patterson, Aiden Fox Ivey, Alan Wu, Jacob Denbeaux, Kevin Menard, Max Bernstein, Maxime Chevalier-Boisvert, Randy Stauner, Stan Lo, and Takashi Kokubun) have been working on ZJIT since the beginning of this year. In case you missed the last
Date: June 23, 2023 | Estimated Reading Time: 31 min | Author: Lilian Weng Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerfu
Bye, Twitter
[This fragment is available in an audio version.] Today I’m leaving Twitter, because I don’t like making unpaid contributions to a for-profit publisher whose proprietor is an alt-right troll. But also because it’s probably going to break down. Read on for details. I was beginning to think the End-Of-Twitter narrative was overblown, but evidence is stacking up. First, the increasingly-toxic politic
Solving Quantitative Reasoning Problems With Language Models
Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz∗, Anders Andreassen†, David Dohan†, Ethan Dyer†, Henryk Michalewski†, Vinay Ramasesh†, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur∗, Guy Gur-Ari∗, and Vedant Misra∗ Google Research Abstract Language models have achieved remarkable performance on a wide range of tasks that require
By Jun He, Natallia Dzenisenka, Praneeth Yenugutala, Yingyi Zhang, and Anjali Norwood TL;DRWe are thrilled to announce that the Maestro source code is now open to the public! Please visit the Maestro GitHub repository to get started. If you find it useful, please give us a star. What is MaestroMaestro is a horizontally scalable workflow orchestrator designed to manage large-scale Data/ML workflows
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more Motivation for a Better Go Profiler Golang is the lifeblood of thousands of Uber’s back-end services, running on millions of CPU cores. Understanding our CPU bottlenecks is critical, both for reducing service latencies and also for making our compute fleet efficient. Th
Today we are excited to announce the availability of the release candidate of TypeScript 5.5. To get started using the RC, you can get it through NuGet, or through npm with the following command: npm install -D typescript@rc Here’s a quick list of what’s new in TypeScript 5.5! Inferred Type Predicates Control Flow Narrowing for Constant Indexed Accesses Type Imports in JSDoc Regular Expression Syn
AI Flame Graphs
Recent posts: 04 Aug 2025 » When to Hire a Computer Performance Engineering Team (2025) part 1 of 2 22 May 2025 » 3 Years of Extremely Remote Work 01 May 2025 » Doom GPU Flame Graphs 29 Oct 2024 » AI Flame Graphs 22 Jul 2024 » No More Blue Fridays 24 Mar 2024 » Linux Crisis Tools 17 Mar 2024 » The Return of the Frame Pointers 10 Mar 2024 » eBPF Documentary 28 Apr 2023 » eBPF Observability Tools Ar
A Complete Guide To Accessible Front-End Components — Smashing Magazine
In a new short series of posts, we highlight some of the useful tools and techniques for developers and designers. Recently we’ve covered CSS Auditing Tools and CSS Generators, and this time we look into reliable accessible components: from tabs and tables to toggles and tooltips. We sincerely hope that these tools and techniques will prove to be useful in your day-to-day work — and most important
Against SQL
TLDR The relational model is great: A shared universal data model allows cooperation between programs written in many different languages, running on different machines and with different lifespans. Normalization allows updating data without worrying about forgetting to update derived data. Physical data independence allows changing data-structures and query plans without having to change all of y
Where Programming, Ops, AI, and the Cloud are Headed in 2021
In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. But what are “trends”? All too often, trends degenerate into horse races over languages and platforms. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. Those repo
Annotated history of modern AI and deep neural networks
For a while, DanNet enjoyed a monopoly. From 2011 to 2012 it won every contest it entered, winning four of them in a row (15 May 2011, 6 Aug 2011, 1 Mar 2012, 10 Sep 2012).[GPUCNN5] In particular, at IJCNN 2011 in Silicon Valley, DanNet blew away the competition and achieved the first superhuman visual pattern recognition[DAN1] in an international contest. DanNet was also the first deep CNN to win
To learn how optimizing compilers are made, I built one targeting the 6502 architecture. In a bizarre twist, my compiler generates faster code than GCC, LLVM, and every other compiler I compared it to. I reckon my compiler isn't doing more when it comes to high-level optimizations, so the gains must be from the code generation side. This makes sense, as most compilers are multi-target, with backen
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Linux Kernel vs DPDK: HTTP Performance Showdown
Inkbase: Programmable Ink
On the Biology of a Large Language Model
Architecture of an early stage SAAS | Feelback Blog
Making slow Rust code fast
ChatGPT Gets Its “Wolfram Superpowers”!
Implementing Logic Programming
Recto — a truly 2D language
Announcing TypeScript 5.5 - TypeScript
Kalyn: a self-hosting compiler for x86-64
Patterns for Building LLM-based Systems & Products
LangGraph for complex workflows — surma.dev
Deep Learning for AI – Communications of the ACM
TTFB doesn't mean what you think it means
How We Sped Up Serverless Cold Starts with Prisma by 9x
Announcing TypeScript 5.5 Beta - TypeScript
ZJIT is now available in Ruby 4.0
LLM Powered Autonomous Agents
Maestro: Netflix’s Workflow Orchestrator
pprof++: A Go Profiler with Hardware Performance Monitoring
Announcing TypeScript 5.5 RC - TypeScript
Explaining my fast 6502 code generator