Rust is an appealing language for building user interfaces for a variety of reasons, especially the promise of delivering both performance and safety. However, finding a good architecture is challenging. Architectures that work well in other languages generally don’t adapt well to Rust, mostly because they rely on shared mutable state and that is not idiomatic Rust, to put it mildly. It is sometim
GitHub - microsoft/TypeChat: TypeChat is a library that makes it easy to build natural language interfaces using types.
TypeChat is a library that makes it easy to build natural language interfaces using types. Building natural language interfaces has traditionally been difficult. These apps often relied on complex decision trees to determine intent and collect the required inputs to take action. Large language models (LLMs) have made this easier by enabling us to take natural language input from a user and match t
Scaling Datastores at Slack with Vitess - Engineering at Slack
From the very beginning of Slack, MySQL was used as the storage engine for all our data. Slack operated MySQL servers in an active-active configuration. This is the story of how we changed our data storage architecture from the active-active clusters over to Vitess — a horizontal scaling system for MySQL. Vitess is the present and future of Datastores for Slack and continues to be a major success
GitHub - patcg-individual-drafts/topics: The Topics API
Note that this is an explainer, the first step in the standardization process. The API is not finalized. The parameters below (e.g., taxonomy size, number of topics calculated per week, the number of topics returned per call, etc.) are subject to change as we incorporate ecosystem feedback and iterate on the API. document.browsingTopics() returns an array of up to three topics, one from each of th
GitHub - mlc-ai/web-llm: High-performance In-browser LLM Inference Engine
In-Browser Inference: WebLLM is a high-performance, in-browser language model inference engine that leverages WebGPU for hardware acceleration, enabling powerful LLM operations directly within web browsers without server-side processing. Full OpenAI API Compatibility: Seamlessly integrate your app with WebLLM using OpenAI API with functionalities such as streaming, JSON-mode, logit-level control,
Introducing Danfo.js, a Pandas-like Library in JavaScript
A guest post by Rising Odegua, Independent Researcher; Stephen Oni, Data Science Nigeria Danfo.js is an open-source JavaScript library that provides high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. Danfo.js is heavily inspired by the Python Pandas library and provides a similar interface/API. This means that users familiar with the Panda
Google製AIアシスタント「Gemini」の有料プランで動画生成AI「Veo 2」を用いた動画生成が可能になりました。 Try generating video in Gemini, powered by Veo 2 https://blog.google/products/gemini/video-generation/ Gemini AI video generator powered by Veo 2 https://gemini.google/overview/video-generation/ Veo 2を用いた動画生成は、Geminiの有料プラン「Gemini Advanced」で利用できます。作りたい動画の説明文(プロンプト)を入力するだけで、8秒の動画を生成可能。解像度は720pで、MP4ファイルとしてダウンロードできます。また、1カ月ごとに生成可能な動画の数が決まって
What Makes Rust Unique? Why is UI in Rust So Hard? Functional UI to the Rescue If you’ve read Hacker News recently, it’s hard to not think that Rust is the future: it’s being used in the Linux kernel and in the Android OS, by AWS for critical infrastructure, and in ChromeOS and Firefox. However, as wonderful as Rust is–it has yet to take off as a general language for building UI. In 2019, “GUI” wa
SaaSの魅力の1つは、KPIが分かりやすいことだろう。多くの指標のベンチマークが存在し、さらに戦術のノウハウがオープンに広まってきている。でも、数字や戦術だけに着目していると、そこには大きな落とし穴があることも忘れてはいけない。今回のポッドキャストは、Fondの福山太郎くんと一緒に、SaaSの経営に関する様々なトピックに触れました。 【ハイライト】 成長しやすいSaaSの条件成長率を追いかけすぎた時の罠成長の４つのレバーSaaSのエクセル経営は良くない社長の役割とは（トップダウンとボトムアップで決める事）良い戦略とは顧客に選ばれるための要素権限移譲の考え方The Modelを取り入れるべきタイミング Podcast: Play in new window | Download Subscribe: Apple Podcasts | RSS （ポッドキャスト編集してくれたkobajenne
Transformer Math 101
We present basic math related to computation and memory usage for transformers Introduction# A lot of basic, important information about transformer language models can be computed quite simply. Unfortunately, the equations for this are not widely known in the NLP community. The purpose of this document is to collect these equations along with related knowledge about where they come from and why t
Introducing Code Llama, a state-of-the-art large language model for coding
Today, we are releasing Code Llama, a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity an
overflowが運営するエンジニア、PM、デザイナーの副業・転職サービス「Offers（オファーズ）」は導入者数は累計で500社を超え、登録ユーザーも22,000人を超えました。 「Offers」では、ユーザーに伴走しながら、プロダクトの価値を最大限に高めるカスタマーサクセスの存在が欠かせません。 本記事では、弊社のカスタマーサクセス（以下、CS）ならではの魅力や、現在地、課題について、CSチームのカスタマーサクセスマネージャー（以下、CSM）の光山と上田がご紹介していきます。 現在のOffersのCSチーム体制について現在Offersでは、IS/FS/CSが連携し、The Model型の組織形態を取りつつも、課題を一気通貫で共有しながら、ユーザーのサクセスを担っています。 SB/SMB（スタートアップ・中小企業向け）を上田が、MM/ENT（一定規模以上のスタートアップ・エンタープライズ
Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
Leaked Google document: “We Have No Moat, And Neither Does OpenAI” 4th May 2023 SemiAnalysis published something of a bombshell leaked document this morning: Google “We Have No Moat, And Neither Does OpenAI”. The source of the document is vague: The text below is a very recent leaked document, which was shared by an anonymous individual on a public Discord server who has granted permission for its
Data teams are no strangers to incidents. But there’s often no standard way of acting on data issues and many teams only sporadically declare data incidents. In this post I’ve teamed up with Jack Cook, analytics manager, from incident.io. incident.io have helped hundreds of engineering teams manage tens of thousands of incidents so there’s a thing or two we can learn from them. The five steps of i
What is Multimodal Search: "LLMs with vision" change businesses What if large language models (LLMs) had "vision", the ability to understand the meaning of images? Just like we have seen the innovation with LLMs with chatbots and text data, the ability would make another huge impact on businesses by letting LLMs look at and organize millions of images in enterprise IT systems. In this post, we wil
OpenAI、ChatGPTの望ましい動作を規定する「モデル仕様」を公開 OpenAIは2024年5月8日、AIモデルの動作に関する議論を深めるため、OpenAI APIとChatGPTにおけるAIモデルの望ましい動作を規定する「モデル仕様（Model Spec）」の最初のドラフトを公開した。 Introducing the Model Spec | OpenAI To deepen the public conversation about how AI models should behave, we’re sharing our Model Spec — our approach to shaping desired model behavior. https://t.co/RJBRwrcTtQ — OpenAI (@OpenAI) May 8, 2024 モデル仕様は、望ま
中国製高性能AIモデル「DeepSeek-R1-0528」はGoogleのAI「Gemini」を使用して蒸留した可能性ありとの臆測が飛び交う
AIモデルの開発現場では、大規模なモデルを用いて小規模なモデルをトレーニングする「蒸留」という手法が注目を集めています。この蒸留に関連して「中国企業のDeepSeekが2025年5月に発表したAIモデル『DeepSeek-R1-0528』がGoogleのGeminiで蒸留されている」という指摘が話題になっています。これは2025年1月に「DeepSeekはOpenAIのデータを蒸留している」という疑惑が浮上したことに続くものです。 DeepSeek may have used Google's Gemini to train its latest model | TechCrunch https://techcrunch.com/2025/06/03/deepseek-may-have-used-googles-gemini-to-train-its-latest-model/ DeepS
Header image from Dex Horthy on Twitter. Context engineering is building dynamic systems to provide the right information and tools in the right format such that the LLM can plausibly accomplish the task. Most of the time when an agent is not performing reliably the underlying cause is that the appropriate context, instructions and tools have not been communicated to the model. LLM applications ar
Introducing Duolingo Max, a learning experience powered by GPT-4
Introducing Duolingo Max, a learning experience powered by GPT-4 AI and education make a great duo. We believe that AI and education make a great duo, and we’ve leveraged AI to help us deliver highly-personalized language lessons, affordable and accessible English proficiency testing, and more. Our mission to make high-quality education available to everyone in the world is made possible by advanc
Lightweight MMM：NumPyroで実装されたベイジアンMMMフレームワーク - 渋谷駅前で働くデータサイエンティストのブログ
以前「Ads carryover & shape effects付きのMedia Mix Modeling」という記事で取り上げたベイジアンMMMのtechnical report (Jin et al., 2017)ですが、当時RStanで実装されていたものが4年の時を経て時代の趨勢に沿う形でPythonベースのOSSとしてリリースされています。 それがLightweight MMM (LMMM)です。ベイジアンモデリング部分はNumPyroによるMCMCサンプラーで実装されており、さらにはモダンなMMMフレームワークにおいて標準的とされる予算配分の最適化ルーチンも実装されています。全体的な使い勝手としては、まだ開発途上の部分もあるので時々痒いところに手が届かない感があるものの、概ねRStanで実装したものと似たような感じに仕上がっているという印象です。 ということで、LMMMがどんな感
Release date: June 12, 2025 Update 1.101.1: The update addresses these security issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the May 2025 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: MCP Expand your agent coding flow with support for prompts, r
Large language models are having their Stable Diffusion moment
Large language models are having their Stable Diffusion moment 11th March 2023 The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the time. People could now generate images from text on their own hardware! More importantly, developers could mess around with the guts of what was going on. The res
GitHub - tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.
This is the repo for the Stanford Alpaca project, which aims to build and share an instruction-following LLaMA model. The repo contains: The 52K data used for fine-tuning the model. The code for generating the data. The code for fine-tuning the model. The code for recovering Alpaca-7B weights from our released weight diff. Note: We thank the community for feedback on Stanford-Alpaca and supporting
rl-for-llms.md Reinforcement Learning for Language Models Yoav Goldberg, April 2023. Why RL? With the release of the ChatGPT model and followup large language models (LLMs), there was a lot of discussion of the importance of "RLHF training", that is, "reinforcement learning from human feedback". I was puzzled for a while as to why RL (Reinforcement Learning) is better than learning from demonstrat
The journey to build an explainable AI-driven recommendation system to help scale sales efficiency across LinkedIn
Recommendations The journey to build an explainable AI-driven recommendation system to help scale sales efficiency across LinkedIn Authored byJilei Yang Staff Software Engineer, Machine Learning at LinkedIn | PhD in Statistics April 6, 2022 Co-authors: Jilei Yang, Parvez Ahammmad, Fangfang Tan, Rodrigo Aramayo, Suvendu Jena, Jessica Li At LinkedIn, we have the opportunity to work with many differe
Agent Development Kit: Making it easy to build multi-agent applications- Google Developers Blog
Agent Development Kit: Making it easy to build multi-agent applications The world of AI is rapidly moving beyond single-purpose models towards intelligent, autonomous multi-agent systems. Building these multi-agent systems, however, presents new challenges. That is why today, we have introduced Agent Development Kit (ADK) at Google Cloud NEXT 2025, a new open-source framework from Google designed
Stable Diffusion 🎨 ...using 🧨 Diffusers Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. It is trained on 512x512 images from a subset of the LAION-5B database. LAION-5B is the largest, freely accessible multi-modal dataset that currently exists. In this post, we want to show how to use Stable Diffusion with
PMMとは？ PdMとどう違う？ SmartHR 重松さんが徹底解説【2021年最新Ver】 | キャリアハック（CAREER HACK）
プロダクトマーケティングマネージャー（通称：PMM）という新しい職種が、いまデジタル領域において注目を集めている。PdMとの違いは？具体的な業務は？SmartHRでPMMを務める重松裕三さんの解説をお届けします！ ※2020年10月27日に開催された【Product Manager Conference 2020】よりレポート記事をお届けします。 【プロフィール】 株式会社SmartHR プロダクトマーケティングマネージャー 重松 裕三 新卒でpixivに入社。プロダクトマネージャーとしてCtoC ECなど、複数の新規事業立ち上げを手掛ける。 2019年9月にSmartHR入社。プロダクトマネージャーと協働するプロダクトマーケティングマネージャーにポジションを移し、人事情報を活用し組織の力を向上させる新規サービスを企画・開発している。 ▼目次 PMMの役割とは？ PMMを置く、メリット
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad*,1, Eliahu Horwitz*,1,2, Dani Valevski*,1, Alex Rav Acha1, Yossi Matias1, Yael Pritch1, Yaniv Leviathan†,1, Yedid Hoshen†,1,2 1Google Research, 2The Hebrew University of Jerusalem *Indicates Equal Contribution, †Indicates Equal Advising Given a video and a text prompt, Dreamix edits the video while maintaining fidelity to color, posture, object size and camera pose, resulting in a tempo
Online shopping gets personal with Recommendations AI | Google Cloud Blog
With the continuing shift to digital, especially in the retail industry, ensuring a highly personalized shopping experience for online customers is crucial for establishing customer loyalty. In particular, product recommendations are an effective way to personalize the customer experience as they help customers discover products that match their tastes and preferences. Google has spent years deliv
Azure OpenAI Service の Assistants API でデータ分析 - Taste of Tech Topics
こんにちは、igaです。 最近は気温の上下が大きいので、服装選びが大変ですね。 今回は、Azure OpenAI Servce Assistants APIを使ってみました。 Azure OpenAI Servce Assistants APIに横浜市の人口データを投入して、人口の増減がどう推移しているのか自動で分析させてみました。 Azure OpenAI Servce Assistants API Azure OpenAI Servce Assistants APIとは Azure OpenAI Servce Assistants APIは、2024年4月現在パブリックプレビューとして利用できる機能です。 learn.microsoft.com Azure OpenAI Servce Assistants API（以降、Assistantsと表記します）により、Azure OpenAI
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation We’re sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences.Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class and is more powerful than all previous generation Llama models, whil
From Ruby to Node: Overhauling Shopify’s CLI for a Better Developer Experience - Shopify
From Ruby to Node: Overhauling Shopify’s CLI for a Better Developer ExperienceIn this blog post, Pedro explains why we rewrote Shopify CLI into Node instead of Ruby, the tradeoffs that came with the decision, the principles we embraced in this new iteration, and the challenges and ideas ahead of us to explore. The Shopify CLI (command line interface) is an essential tool for developers when buildi
Try out the interactive version: This Anime Does Not Exist (link). A custom variant StyleGAN2 model (512px resolution) trained on Danbooru2019. Notable changes include disabling stylemixing during training, forgoing path length regularization, using 2x feature maps, noconst (from the start), top-k (at convergence), and data augmentation using PALM (hands and figures augmentations), among other twe
TRONキーボード製作のあれこれ
この記事は、キーボード #1 Advent Calendar 2020の10日目です。TRONキーボード製作した話のつもりで書き出してみたら、TRONキーボードの歴史・仕様についてのサーベイが中心の記事になりました。 9日目は、marksardさんのアルミトレイケースの不快な音を除去して「整音化」するでした。 10日目は、サリチル酸さんの削り出しに挑戦した話です。 12月は、クリスマスに向けてAdvent Calendarのシーズンですが、TRONファン界隈ではTRON Symposium -TRONSHOW-の季節でもあります。12/9-11開催中です！ TRONキーボードを製作した経緯 もともと、TRONファンのBTRON（超漢字V）ユーザで、TRONキーボードのデザインが好きだったからということに尽きます。 TRONの坂村研に所属していましたが、研究室にTRONキーボードが何台かはあ
No trial. No credit card required. Just your GitHub account. Welcome back to this blog series on OpenAI and .NET! If you’re new here, check out our first post where we introduce the series and show you how to get started using OpenAI in .NET. The focus of this post is on ChatGPT and how you can use OpenAI models in conversational interfaces using .NET. Let’s get started! What is ChatGPT? The ChatG
Today, we are announcing experimental support for WASI (the WebAssembly System Interface) on Cloudflare Workers and support within wrangler2 to make it a joy to work with. We continue to be incredibly excited about the entire WebAssembly ecosystem and are eager to adopt the standards as they are developed. So what is WASI anyway? To understand WASI, and why we’re excited about it, it’s worth a qui
Meta’s LLaMa license is not Open Source OSI is pleased to see that Meta is lowering barriers for access to powerful AI systems. Unfortunately, the tech giant has created the misunderstanding that LLaMa 2 is “open source” – it is not. Even assuming the term can be validly applied to a large language model comprising several resources of different kinds, Meta is confusing “open source” with “resourc
2023年1月現在Stable Diffusionで美少女イラスト生成に使えるモデルを紹介します。 基本的に学習モデルの収集はここから行っています。 Models - Hugging FaceWe’re on a journey to advance and democratize artificial intelligence through open source and open science.huggingface.co hugging face AI版Github。5gbくらいある学習モデルも数分でダウンロードできるサーバーに、一部モデルのDEMOサイト用のGPUを提供している。これがなぜ無料で使えるのかわからないが、噂によるとAI業界のGithubという触れ込みで各企業からお金を集めているらしい。 ソート欄からLikeが多い順に並べ替えてください。 ここで紹介しているものはS
フジロック KRAFTWERK クラフトワーク 27 July 2024 FUJI ROCK Live in JAPAN 4K
0:00 Intro 1:09 Numbers / Computer World 9:53 It's More Fun to Compute / Home Computer 16:45 Spacelab 21:51 The Man-Machine 27:00 Autobahn 35:47 The Model 39:35 Merry Christmas Mr. Lawrence 42:07 Radioactivity 49:03 Tour de France 1983 / Tour de France 2003 57:18 Trans Europe Express 1:05:10 The Robots 1:12:23 Pocket Calculator / Dentaku 1:15:47 Boing Boom Tschak / Musique Non Stop ・KRAFTWERKはライブ
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Xilem: an architecture for UI in Rust
GoogleのAIアシスタント「Gemini」で動画生成が可能に
Why is building a UI in Rust so hard? | Warp
成長率だけを追いかけ過ぎると罠にハマる。SaaS経営者が考えるべき戦略とは。~ Fond 福山太郎
CSチームの現在地 - CSMとして働く魅力と現在のチャレンジ -｜株式会社overflow
Incident management for data teams
Multimodal generative AI search | Google Cloud Blog
OpenAI、ChatGPTの望ましい動作を規定する「モデル仕様」を公開 | gihyo.jp
The rise of "context engineering"
May 2025 (version 1.101)
Reinforcement Learning for Language Models
Stable Diffusion with 🧨 Diffusers
Aydao.AI | Art + Machine Learning
Get started with ChatGPT in .NET - .NET Blog
Announcing support for WASI on Cloudflare Workers
Meta’s LLaMa license is not Open Source
【2023年版】Stable Diffusion イラスト生成モデル紹介・一覧