ホーム ⚡ Zig Programming Language
Zigは、堅牢、最適、および再利用可能なソフトウェアをメンテナンスするための汎用プログラミング言語およびツールチェインです。 ⚡ シンプルな言語プログラミング言語の知識をデバッグするよりも、アプリケーションのデバッグにフォーカスしてください。 隠された制御フローはありません。隠されたメモリ割り当てはありません。プリプロセッサ、マクロもありません。⚡ コンプタイムコンパイル時のコード実行と遅延評価に基づくメタプログラミングへの新しいアプローチ。 コンパイル時に任意の関数を呼び出します。ランタイムオーバーヘッドなしに型を値として操作します。コンプタイムはターゲットアーキテクチャをエミュレートします。⚡ ZigでメンテナンスC/C++/Zigのコードベースを段階的に改善することができます。 Zigを依存性ゼロのドロップインC/C++コンパイラとして使用し、すぐにクロスコンパイルをサポートします。
Why Python is not the programming language of the future
Python has served us well — but will it last? Photo by David Clode on Unsplash It took the programming community a couple of decades to appreciate Python. But since the early 2010’s, it has been booming — and eventually surpassing C, C#, Java and JavaScript in popularity.
This paper describes Meta's TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successfully clear a set of filters that assure measurable improvement over the original test suite, thereby eliminating problems due to LLM hallucination. We describe the deployment of TestGen-LLM at Meta test-a-thons for the Ins
GitHub - mlc-ai/web-llm: Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
| NPM Package | Get Started | Examples | Documentation | MLC LLM | Discord | WebLLM is a modular and customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. WebLLM is fully compatible with OpenAI API. That is, you can use the same OpenAI
GitHub - yandex/YaLM-100B: Pretrained language model with 100B parameters
YaLM 100B is a GPT-like neural network for generating and processing text. It can be used freely by developers and researchers from all over the world. The model leverages 100 billion parameters. It took 65 days to train the model on a cluster of 800 A100 graphics cards and 1.7 TB of online texts, books, and countless other sources in both English and Russian. Training details and best practices o
GitHub - microsoft/lsif-node: Define an index format for Language Servers
The purpose of the Language Server Index Format (LSIF) is it to define a standard format for language servers or other programming tools to dump their knowledge about a workspace. This dump can later be used to answer language server LSP requests for the same workspace without running the language server itself. Since much of the information would be invalidated by a change to the workspace, the d
Matt Pearring and Alex Rakoczy 16 August 2021 Today the Go team is thrilled to release Go 1.17, which you can get by visiting the download page. This release brings additional improvements to the compiler, namely a new way of passing function arguments and results. This change has shown about a 5% performance improvement in Go programs and reduction in binary sizes of around 2% for amd64 platforms
入門Go言語仕様 Underlying Type / Go Language Underlying Type
Go言語の “Underlying Type” の仕組みをわかりやすく解説します。 Go言語の設計原則や歴史にもせまります。 #gospecreading
GitHub - jart/emacs-copilot: Large language model code completion for Emacs
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GitHub - Naotonosato/Clawn: The Clawn Programming Language
Clawn is a programming language developed with the goal of making it easy to write high-quality, safe programs. Currently, Clawn has the following features Simple syntax Statically typing Higher rank polymorphism Safe "any" elegant C FFI Automatic memory management (WIP) I value a gentle learning curve, and Clawn is designed to be easy to learn. For example, Clawn's function definitions have no ty
GitHub - BlinkDL/ChatRWKV: ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
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The Illustrated GPT-2 (Visualizing Transformer Language Models)
Jay Alammar Visualizing machine learning one concept at a time. @JayAlammar on Twitter. YouTube Channel This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architectur
Tips for writing clear, performant, and idiomatic Go code
GitHub - shikaan/shmux: 🐚 Run multiple scripts from one file. In (almost) any language.
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We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API.
GitHub - geekan/MetaGPT: 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🚀 Mar. 29, 2024: v0.8.0 released. Now you can use Data Interpreter via pypi package import. Meanwhile, we integrated RAG module and supported multiple new LLMs. 🚀 Mar. 14, 2024: Our Data Interpreter paper is on arxiv. Check the example and code! 🚀 Feb. 08, 2024: v0.7.0 released, supporting assigning different LLMs to different Roles. We also introduced Data Interpreter, a powerful agent capable
はじめに Turingでは完全自動運転実現に向けて、LLMやそれを用いたVision Langauge（V&L）モデルの開発に取り組んでいます。最近は経済産業省／NEDOの「競争力のある生成AI基盤モデルの開発を支援する「GENIACプロジェクト」」にも採択されるなど、大規模な生成AIの開発に精力的に取り組んでいます。 特に、Vision Languageモデルについては、Heronというライブラリとモデル群を公開しており、今回は新しいモデルとその学習レシピを公開します。また、日本語のV&LモデルをGPT-4を用いて評価するためのプログラムも公開します。 Heronとは V&Lモデルは、画像を認識する「ビジョンエンコーダ」、文章を生成する「LLM」、それら2つをつなぐ「アダプタ」から構成されます。heronのコードを用いることで、これらの様々な組み合わせのオリジナルV&Lモデルを作成するこ
Alice Merrick 9 March 2021 Thank you for the amazing response! In 2020, we had another great turnout with 9,648 responses, about as many as 2019. Thank you for putting in the time to provide the community with these insights on your experiences using Go! New modular survey design You may notice some questions have smaller sample sizes (“n=”) than others. That’s because some questions were shown to
In 2013, I had an idea: "what if I were to build my programming language?". Back then my idea came down to "an interpreted language that mixes elements from Ruby and Smalltalk", and not much more. Between 2013 and 2015 I spent time on and off trying different languages (C, C++, D and various others I can't remember) to see which one I would use to build my language in. While this didn't help me fi
The Go Blog Finding unreachable functions with deadcode Alan Donovan 12 December 2023 Functions that are part of your project’s source code but can never be reached in any execution are called “dead code”, and they exert a drag on codebase maintenance efforts. Today we’re pleased to share a tool named deadcode to help you identify them. $ go install golang.org/x/tools/cmd/deadcode@latest $ deadcod
GitHub - openai/gpt-3: GPT-3: Language Models are Few-Shot Learners
arXiv link Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still requires task-specific fine-tuning datasets of thousands or tens of thousands of examples. By contrast, humans can generally perform a new language task from
Static TypeScript: An Implementation of a Static Compiler for the TypeScript Language - Microsoft Research
While the programming of microcontroller-based embeddable devices typically is the realm of the C language, such devices are now finding their way into the classroom for CS education, even at the level of middle school. As a result, the use of scripting languages (such as JavaScript and Python) for microcontrollers is on the rise. We present Static TypeScript (STS), a subset of TypeScript (itself,
Creating the Go programming language featuring Rob Pike & Robert Griesemer (Go Time #100)
KubeCon + CloudNativeCon – The Cloud Native Computing Foundation’s flagship Kubernetes community conference which gathers adopters and technologists from leading open source and cloud native communities. Learn more and register — get 10% off with the code KCNACHANGELOG19 Feel free to use the Convince Your Boss letter in part or in full so you can your team can attend. TeamCity by JetBrains – Build
Apple、Apple Intelligenceの基盤システムを解説した「Apple Intelligence Foundation Language Models」を公開 | NEWS | Mac OTAKARA
※本サイトは、アフィリエイト広告および広告による収益を得て運営しています。購入により売上の一部が本サイトに還元されることがあります。 AppleのMachine Learning Researchが、Apple Intelligenceの機能を強化するために開発された、デバイス上で効率的に動作するように設計された約30億のパラメータモデルと、Private Cloud Compute用に設計された大規模なサーバーベースの言語モデルを含む、基盤言語モデルを紹介する「Apple Intelligence Foundation Language Models」（PDF）を公開しています。 これらのモデルは、幅広いタスクを効率的かつ正確に、責任を持って実行できるように設計されていて、本レポートでは、モデルのアーキテクチャ、モデルの学習に使用したデータ、学習プロセス、推論のためのモデルの最適化方法、
GitHub - sourcegraph/doctree: First-class library documentation for every language (based on tree-sitter), with symbol search & more. Lightweight single binary, run locally or self-host. Surfaces usage examples via Sourcegraph.
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If you have a PDF file in a foreign language, or if you need to send a PDF to someone in another language, here's how you translate them. Whether you’re a researcher who wants to dig into a topic or work with foreigners, you might want to translate a PDF into another language. While translating text files is quite simple, PDFs can get a bit trickier. This is especially true if you want to translat
[アップデート] Monitoring Query Language (MQL) が非推奨へ | DevelopersIO
Cloud Monitoring でサポートするクエリ言語 Monitoring Query Language (MQL) が 2024/10/22 以降に推奨クエリ言語でなくなります Cloud Monitoring の Metrics Explorer や アラートポリシーで時系列データの収集やフィルタリングを行うための Google Cloud 独自のクエリ言語である Monitoring Query Language (MQL) が 推奨クエリ言語ではなくなるというアップデートが公開されましたので共有します。 先にお伝えしますが、MQL で作成した既存のダッシュボードやアラートポリシー自体が利用不可となったり移行が必要となることはありませんのでご安心ください。 詳細は以下ドキュメントをご参照ください。 アップデート概要 2024/10/22 に MQL が推奨クエリ言語でなくなり、
![[アップデート] Monitoring Query Language (MQL) が非推奨へ | DevelopersIO](https://cdn-ak-scissors.b.st-hatena.com/image/square/122edd06980ab8b90d79e14297d837071229f8aa/height=288;version=1;width=512/https%3A%2F%2Fdevio2024-media.developers.io%2Fimage%2Fupload%2Fv1721797071%2Fuser-gen-eyecatch%2Fvlqwfkkeho0e2xchoy4d.png)
先輩に「何かタメになる話してくださいよ〜」と無茶振りしたら『Language Reactor』という2言語字幕を同時表示できるChromeの拡張機能を教えてもらった (2ページ目)
おたま@男子二児の母 @otamashiratama もし「Audibleの無料体験を始めた」「まだミシェル・オバマ氏の自伝を読んだことがない」「英語の勉強をしたい」という方がいたら、この本が最高にお勧めです。 ミシェル・オバマの自伝を全力でお勧めしたい。英語の勉強のつもりで聴き始めたら夢中になった。 - おたまの日記 shiratamaotama.com/entry/2018/11/… 2021-02-20 22:01:07 リンク おたまの日記 ミシェル・オバマの自伝を全力でお勧めしたい。英語の勉強のつもりで聴き始めたら夢中になった。 - おたまの日記 ミシェル・オバマ氏の自伝、”Becoming”をAudibleで聴いてます。素晴らしいです。本人が執筆し、本人が朗読しているため、彼女自身が隣に座って人生を語りかけてくるような感覚で聴くことができます。文字で読むよりも、オーディオブック
The Go Blog Go 1.22 is released! Eli Bendersky, on behalf of the Go team 6 February 2024 Today the Go team is thrilled to release Go 1.22, which you can get by visiting the download page. Go 1.22 comes with several important new features and improvements. Here are some of the notable changes; for the full list, refer to the release notes. Language changes The long-standing “for” loop gotcha with a
Russ Cox, for the Go team 10 November 2022 Today we celebrate the thirteenth birthday of the Go open source release. The Gopher is a teenager! It’s been an eventful year for Go. The most significant event was the release of Go 1.18 in March, which brought many improvements but most notably Go workspaces, fuzzing, and generics. Workspaces make it easy to work on multiple modules simultaneously, whi
Nota is a language for writing documents, like academic papers and blog posts. The goal of Nota is to bring documents into the 21st century. Documents contain a lot of structure — for example, "Nota" is a reference to a term defined in the preceding paragraph. Nota enables authors to represent that structure, which allows the reading medium (the browser) to understand that structure, which in turn
GitHub - get-woke/woke: Detect non-inclusive language in your source code.
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Zapier Natural Language Actions API(beta)とLangChainの統合をやってみた | DevelopersIO
はじめに こんにちは、筧( @TakaakiKakei )です。 本ブログは下記ブログの続きです。 Zapier Natural Language Actions (NLA) API と LangChain の統合が発表されました。 これによって、Zapier プラットフォーム上の5,000以上のアプリと20,000以上のアクションを、自然言語で組み込めるようになります。 実際にやってみて理解を深めていきましょう。 なお、2023/03/17時点では、Zapier Natural Language Actions API は beta なので予めご了承ください。 やってみた Zapier NLA API の準備 Zapier NLA API の利用には申請が必要です。 下記フォームから必要情報を入力して申請します。 申し込み後、承認されると下記ページの User の Information
Introducing FLAN: More generalizable Language Models with Instruction Fine-Tunin
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
Introducing TypeSpec: A New Language for API-Centric Development | TypeSpec
Over last few years, we've been hard at work on https://typespec.io/, a modern API definition language. This language is designed to meet the evolving needs of API developers, architects, and managers in an environment where the delivery of consistently high-quality APIs and related experiences is becoming increasingly complex and critical. TypeSpec is more than just a new language; it's a platfor
GitHub - oobabooga/text-generation-webui: A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
言語モデルのスケーリング則（Scaling Laws for Neural Language Models）とは？
言語モデルのスケーリング則（Scaling Laws for Neural Language Models）とは？：AI・機械学習の用語辞典 用語「スケーリング則」について説明。自然言語処理モデルのサイズ（＝パラメーター数）や、データセットのサイズ、トレーニングに使用される計算量が増えるほど、より高い性能を発揮できる、という法則を指す。 連載目次 用語解説 物理学や生物学など幾つかの分野に「スケーリング則」（Scaling Laws）という用語があるが、本稿では人工知能／機械学習分野の自然言語処理におけるスケーリング則について紹介する。 ニューラル言語モデル（＝ニューラルネットワークの自然言語処理モデル）における「スケーリング則（Scaling Laws for Neural Language Models）」とは、自然言語処理モデルのパラメーター数（＝モデルのサイズ）や、データセットのサ
Metaがコードのコンパイルや最適化を行える商用利用可能な大規模言語モデル「Meta Large Language Model Compiler」をリリース
Metaがコードをコンパイルしつつ最適化するという大規模言語モデル「Meta Large Language Model Compiler」をリリースしました。モデルは商用利用可能で、Hugging Faceにてホストされています。 Meta Large Language Model Compiler: Foundation Models of Compiler Optimization | Research - AI at Meta https://ai.meta.com/research/publications/meta-large-language-model-compiler-foundation-models-of-compiler-optimization/ Today we’re announcing Meta LLM Compiler, a family of models
Most loved programming language Rust sparks privacy concerns
Rust developers have repeatedly raised concerned about an unaddressed privacy issue over the last few years. Rust has rapidly gained momentum among developers, for its focus on performance, safety, safe concurrency, and for having a similar syntax to C++. StackOverflow's 2020 developer survey ranked Rust first among the "most loved programming languages." However, for the longest time developers h
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Automated Unit Test Improvement using Large Language Models at Meta
Go 1.17 is released - The Go Programming Language
Go 1.15 is released - The Go Programming Language
Aligning language models to follow instructions
日本語Vision Languageモデル heron-blip-v1の公開
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A decade of developing a programming language
Finding unreachable functions with deadcode - The Go Programming Language
How to Translate a PDF File Into Any Language
Go 1.22 is released! - The Go Programming Language
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Nota: A Document Language for the Browser
0.8.0 Release Notes ⚡ The Zig Programming Language