Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 身につまされる英語力問題。手っ取り早く英語を習得するなら海外に行ってしまうが最善なはずですがこのコロナ禍、身近なところで英語に触れつつ技術も勉強したい？といえば、動画です。 10 Developers You Should Follow to Improve Your Skills (スキルを上げるための、フォローすべき開発者10選) という記事があったので10人をまとめた。プラスオマケ。それぞれ実際に動画を見てみての補足付き。 1. Ben Awad (ベン・アワド) ソフトウェア開発者。React、React Native、Grap
はじめにこの記事は、放送大学の（主に情報コースを中心とする）学生さん向けに、私の履修済み科目の感想と主観的評価を共有して、履修計画の参考にしていただくことを目的に作成しました。下記の記事の通り、2019年-2020年の2年間で情報コースの科目を8割方履修したのでそれなりの網羅性があるかと思います。 （2023年2月追記）その後、選科履修生として履修した他コースの科目や大学院科目などを追加して112科目掲載しています。試験難易度については履修時期によって会場試験・在宅ペーパー試験・在宅Web試験が混在しているので参考程度でお願いします。 タイトルは私が現役生の時に通っていた大学の似たような評価システムから拝借しました。 以下の科目は基本的にナンバリングが低い順に並べています。閉講済みの科目も混じっていますが、記録と後継科目の参考のために残しておきます。あくまで全て（上記の記事にある通り、文系
This is The Entire Computer Science Curriculum in 1000 YouTube Videos
This is The Entire Computer Science Curriculum in 1000 YouTube Videos In this article, we are going to create an entire Computer Science curriculum using only YouTube videos. The Computer Science curriculum is going to cover every skill essential for a Computer Science Engineer that has expertise in Artificial Intelligence and its subfields, like: Machine Learning, Deep Learning, Computer Vision,
vscode.dev(!)
Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. October 20, 2021 by Chris Dias, @chrisdias Back in 2019, when the .dev top-level domain opened, we picked up vscode.dev and quickly parked it, pointing at our website code.visualstudio.com (or, if you are from the Boston area like me, we "pahked it"). Like a lot of people who buy a .dev domain, we had no idea
OpenAIのBatch APIを使ってお得にプロンプトを一括処理してみる - Taste of Tech Topics
はじめに こんにちは。データサイエンスチームYAMALEXのSsk1029Takashiです。 最近はOpenAIに日本支社が出来て、日本語対応が加速するというニュースにわくわくしています。 今回はそんなOpenAIから発表されたBatch APIという機能が便利、かつお得な機能だったのでどのように使えるのか試してみます。 Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API pri
vscode.dev(!)
Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. October 20, 2021 by Chris Dias, @chrisdias Back in 2019, when the .dev top-level domain opened, we picked up vscode.dev and quickly parked it, pointing at our website code.visualstudio.com (or, if you are from the Boston area like me, we "pahked it"). Like a lot of people who buy a .dev domain, we had no idea
Developers are increasingly relying on AI coding assistants to accelerate our daily workflows. These tools can autocomplete functions, suggest bug fixes, and even generate entire modules or MVPs. Yet, as many of us have learned, the quality of the AI’s output depends largely on the quality of the prompt you provide. In other words, prompt engineering has become an essential skill. A poorly phrased
I left OpenAI three weeks ago. I had joined the company back in May 2024. I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like. Nabeel Qureshi has an amazing post called Reflections on Palantir, where he ruminates on what made Palantir special. I wanted to
The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit. I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: p
I'm concerned by the number of times I've heard, "oh, we can do RAG with retriever X, here's the vector search query." Yes, your retriever for a RAG flow should definitely support vector search, since that will let you find documents with similar semantics to a user's query, but vector search is not enough. Your retriever should support a full hybrid search, meaning that it can perform both a vect
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 「どの言語を学ぶべきか」という議論はエンジニア向け記事の定番ネタですが、HackerNoonに投稿された5 Programming Languages Every Master Developer Should Learnという記事がなかなか興味深かったので翻訳してみました。 (2018/11/04追記) こちらの記事に関する「別視点からの意見」として下記のような記事を追加いたしました。宜しければこちらも併せてご参照ください。 Ruby->Go->Scalaという習得順序がエンジニアの爆速の成長に最適である理由 はじめに 「プログラマー
We Love You, TypeScriptFor nearly five years now, Motion has operated in a large TypeScript monorepo. At its peak, it was roughly ~2.5 million lines of code after excluding comments, node_modules, etc. To manage this, we used Vercel’s rather excellent Turborepo build system. This is not a blog post hating on TypeScript — quite the opposite! Motion would likely not even have survived until today wi
There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 目次 はじめに 何故出願したか 何故ジョージア工科大学か どうやって準備したか おわりに はじめに 既に先人たちが書かれている記事も多々ありますが、2023年3月にジョージア工科大学のコンピュータサイエンス修士過程に出願して合格しました。8月から授業が始まるので忘れない内に何故出願したのか、どのように出願準備したのかについてまとめようと思います。働きながら米国のコンピュータサイエンス大学院進学を考えている方々の参考になりますと幸いです。 Acceptance Letter ー 合格証 何故大学院に出願したか ジョージア工科大学に出願した
Weird Lexical Syntax
I just learned 42 programming languages this month to build a new syntax highlighter for llamafile. I feel like I'm up to my eyeballs in programming languages right now. Now that it's halloween, I thought I'd share some of the spookiest most surprising syntax I've seen. The languages I decided to support are Ada, Assembly, BASIC, C, C#, C++, COBOL, CSS, D, FORTH, FORTRAN, Go, Haskell, HTML, Java,
GitHub - karpathy/LLM101n: LLM101n: Let's build a Storyteller
!!! NOTE: this course does not yet exist. It is current being developed by Eureka Labs. Until it is ready I am archiving this repo !!! What I cannot create, I do not understand. -Richard Feynman In this course we will build a Storyteller AI Large Language Model (LLM). Hand in hand, you'll be able to create, refine and illustrate little stories with the AI. We are going to build everything end-to-e
Parsing SQL - Strumenta
The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However
The /llms.txt file – llms-txt
A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time. Background Large language models increasingly rely on website information, but face a critical limitation: context windows are too small to handle most websites in their entirety. Converting complex HTML pages with navigation, ads, and JavaScript into LLM-friendly plain text is
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.”
Codestral | Mistral AI
CodestralEmpowering developers and democratising coding with Mistral AI. We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI appli
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
Announcing Dapr v1.0
By Dapr project maintainers | Wednesday, February 17, 2021 Today we are excited to announce the v1.0 release of the Distributed Application Runtime (Dapr), which has achieved the stability and enterprise readiness to be designated production ready. Dapr is an open source, portable, event-driven runtime that makes it easy for developers to build resilient, microservice, stateless and stateful appli
Let’s unpack why microservices often backfire early on, where they genuinely help, and how to structure your startup’s systems for speed and survival. Monoliths Are Not the EnemyIf you’re building some SaaS product, even a simple SQL database wrapper eventually may bring a lot of internal complexity in the way your business logic works; additionally, you can get to various integrations and backgro
written on January 30, 2025 After Musk’s acquisition of Twitter, many people I respect and follow moved to Bluesky. I created an account there and made an honest attempt of making it my primary platform. Sadly, I found Bluesky to be surprisingly hostile towards AI content. There is an almost religious resistance to AI on there, at least in whatever corner of the platform I ended up in. Despite the
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b
文系学部卒でも無条件で不合格にならないアメリカのオンラインコンピューターサイエンス修士コースを調べ、出願校を決めた｜Toshinori Sugita
出願校最初の出願校は、ジョージア工科大学のOMSCSになりそうだ。履修できる授業の種類、オンラインコースの懐の深さ（合格率の高さ）（、費用）が主な理由だ。 前回の記事を書いた時点では、ペンシルバニア大学のMCITがベストではないかと考えていた。 しかし、他の選択肢を十分検討していなかったので、候補になり得るコースをリストアップして比較した。特に気にしたのは、つぎの点だ。 ・文系学士が無条件でNGにならない ・CS推奨であっても、テストやMOOCs受講、業務経験などでなんとかなる ・アメリカ（最初の候補として。イギリスやオーストラリアがダメというわけでは全然ないが、英語で学ぶことを前提としたい） ・授業（基礎、分散システム、その他機械学習、データサイエンスなど共通理解になり得るものが選択できる） ・出願要件の具体的な数字（英語テスト、書類、出願期限） ・合格率（オンラインはオンキャンパスと比
Llama 3.1 の新機能と使い方｜npaka
以下の記事が面白かったので、簡単にまとめました。 ・Llama 3.1 - 405B, 70B & 8B with multilinguality and long context 1. Llama 3.1 の新機能「Llama 3.1」の新機能は、次のとおりです。 ・128Kトークンの大きなコンテキスト長 (元は8K) ・多言語 ・ツールの使用 ・4,050億パラメータの非常に大きな高密度モデル ・より寛容なライセンス 8B、70B、405Bの3つのサイズがあり、それぞれにベースモデルと指示モデルがあります。128Kトークンのコンテキスト長と、英語、ドイツ語、フランス語、イタリア語、ポルトガル語、ヒンディー語、スペイン語、タイ語を含む8つの言語をサポートしています。「Llama 3.1」は、より長いコンテキストに役立つ効率的な表現である「Grouped-Query Attention」(
This is a guest post from Michael Kennedy, the founder of Talk Python and a PSF Fellow. Welcome to the highlights, trends, and key actions from the eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team. My name is Michael Kennedy, and I’ve analyzed the more than 30,000 responses to the survey an
The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify
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
Useful VS Code Extensions For Front-End Developers — Smashing Magazine
Meet useful Visual Studio Code extensions for web developers: little helpers to minimize slow-downs and frustrations, and boost developer’s workflow along the way. Recently, we’ve also covered CSS auditing tools, CSS generators and accessible front-end components — you might find them useful, too. In this post, we look into useful VS Code extensions for front-end development, from fine productivit
GenAI Handbook
William Brown @willccbb | willcb.com v0.1 (June 5, 2024) Introduction This document aims to serve as a handbook for learning the key concepts underlying modern artificial intelligence systems. Given the speed of recent development in AI, there really isn’t a good textbook-style source for getting up-to-speed on the latest-and-greatest innovations in LLMs or other generative models, yet there is an
戦略ファーム時代に読んだ700冊程度の本をまとめています*随時更新 戦略ファーム時代に読んだ700冊程度の本をまとめています I. 戦略 企業参謀 https://amzn.to/44iKVxM 当初、いまいち戦略というものが掴めきれず迷子になっていた時に「大前研一はこれだけ読め」と教わった本。大量に出ている他の大前本を読まなくて済むのが見過ごせない大きな価値 戦略サファリ 第2版 https://amzn.to/3csZg0t 経営戦略の本を読み漁るも、実プロジェクトの方が全くもって学びになるという普通の感想をもち、俯瞰での戦略論を求めるようになる。いやあ懐かしい 企業戦略論【上】基本編 競争優位の構築と持続 Jay Barney https://amzn.to/3dJjVxB 任天堂の戦略の妙に気が付きはじめ、ベースか似通ったものはないだろうかと思うようになった時にJay Barney
State of the Common Lisp ecosystem, 2020 🎉 - Lisp journey
NEW: 9 videos (86min) about CLOS on my Common Lisp course. Out of 7h+ of content. Rated 4.7/5. Learn more and stay tuned. 🎥 I also have cool Lisp showcases on Youtube . The last ones: how to build a web app in Common Lisp, part 1 and 2. This is a description of the Common Lisp ecosystem, as of January, 2021, from the perspective of a user and contributor. The purpose of this article is both to gi
How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking – OpenAI Triton And PyTorch 2.0
How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking – OpenAI Triton And PyTorch 2.0 Over the last decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have come and gone, but most have relied heavily on leveraging Nvidia’s CUDA and performed best on Nvidia GPUs. However, with the arrival of PyTorch 2.0 and OpenAI’s Triton, Nvidia’
I’m a fairly frequent Hacker News lurker, especially when I have some other important task that I’m avoiding. I normally head to the Active page (lots of comments, good for procrastination) and pick a nice long discussion thread to browse. So over time I’ve ended up with a good sense of what topics come up a lot. “The Bay Area is too expensive.” “There are too many JavaScript frameworks.” “Bootcam
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 身につまされる英語力問題。手っ取り早く英語を習得するなら海外に行ってしまうが最善なはずですがこのコロナ禍、身近なところで英語に触れつつ技術も勉強したい？といえば、動画です。 10 Developers You Should Follow to Improve Your Skills (スキルを上げるための、フォローすべき開発者10選) という記事があったので10人をまとめた。プラスオマケ。それぞれ実際に動画を見てみての補足付き。 1. Ben Awad (ベン・アワド) ソフトウェア開発者。React、React Native、Grap
My AI Skeptic Friends Are All Nuts Author Name Thomas Ptacek @tqbf @tqbf Image by Annie Ruygt Tech execs are mandating LLM adoption. That’s bad strategy. But I get where they’re coming from. Some of the smartest people I know share a bone-deep belief that AI is a fad — the next iteration of NFT mania. I’ve been reluctant to push back on them, because, well, they’re smarter than me. But their argum
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
Transformer models: an introduction and catalog — 2023 Edition January 16, 2023 52 minute read This post is now an ArXiV paper that you can print and cite. Update 05/2023 Another pretty large update after 4 months. I was invited to submit the article to a journal, so I decided to enlist some help from some LinkedIn colleages and completely revamp it. First off, we added a whole lot of new models,
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英語力と技術力向上のための海外Tech系Youtuber10選 +n - Qiita
放送大学マイルストーン('23)｜lumpsucker
The Prompt Engineering Playbook for Programmers
Reflections on OpenAI
The End of Programming – Communications of the ACM
Doing RAG? Vector search is *not* enough
全ての開発者が学ぶべき5つの言語 - Qiita
Moving off of TypeScript
100+ Best GitHub Repositories For Machine Learning
ジョージア工科大学でコンピュータサイエンスを学び始める話 - Qiita
Patterns for Building LLM-based Systems & Products
LangGraph for complex workflows — surma.dev
Microservices Are a Tax Your Startup Probably Can’t Afford
How I Use AI: Meet My Promptly Hired Model Intern
The State of Python 2025 | The PyCharm Blog
Andrej Karpathy — AGI is still a decade away
Digital, digital and digital
Hacker News folk wisdom on visual programming
英語力と技術力向上のための海外Tech系Youtuber10選 +n - Qiita
My AI Skeptic Friends Are All Nuts
Transformer models: an introduction and catalog — 2023 Edition