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GitHub - graphql-editor/graphql-zeus: GraphQL client and GraphQL code generator with GraphQL autocomplete library generation ⚡⚡⚡ for browser,nodejs and react native ( apollo compatible )
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VariationalでEnd2EndなDialogue Response Generationの世界 - 終末 A.I.
この記事は、自然言語処理 #2 Advent Calendar 2019の24日目の記事です。 Open-Domain Dialogueや非タスク指向対話、雑談対話と呼ばれる領域において、発話データのみを使用したEnd2Endな対話応答生成を試みる歴史はそこまで古くなく、[Ritter et al+ 11]や[Jafarpour+ 10]がまず名前をあげられるように、比較的最近始まった研究テーマとなります。 これらは、Twitterなどの登場により、ユーザー間で行われる、ほとんどドメインを限定しない、もしくは多様なドメインにまたがる、大量の対話データを、容易に収集できるようになったことにより、活発に研究されるようになってきました。 初期の研究である[Ritter+ 11]や[Jafarpour+ 10]では、統計的機械翻訳ベースや情報検索ベースの手法でEnd2Endな対話システムを構成して
Fe - A next generation, statically typed, future-proof smart contract language for the Ethereum Virtual Machine
The next generation smart contract language for Ethereum Create decentralized applications in a powerful, future-proof and statically typed language that is easy to learn. Beautiful and elegant The syntax of Fe is largely inspired by Rust. It is easy to learn, even for those who have never dealt with the EVM before. Fe is designed to be safe and equipped with the tooling needed to validate contrac
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models - Speech Research
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining Haohe Liu 📮,1, Qiao Tian2,Yi Yuan1, Xubo Liu1, Xinhao Mei1,Qiuqiang Kong2 Yuping Wang2, Wenwu Wang1, Yuxuan Wang2, Mark D. Plumbley1 1CVSSP, University of Surrey, Guildford, UK 2Speech, Audio & Music Intelligence (SAMI), ByteDance 📮Corresponding author 😃 For text-to-audio generation, we generated a total of 350 audi
Google App Engine (Standard Environment, 2nd Generation) で Golang の Web Application を作る方法 - めもめも
これは何？ Google App Engine (Standard Environment) は 2nd Generation にアップグレードして、GAE 専用の実行モジュール（各言語で用意された GAE 対応の専用ライブラリ等）が不要になり、一般的なライブラリやフレームワークが比較的自由に使えるようになりました。 cloud.google.com ここでは、Go 1.13 と軽量 Web Framework の Echo を用いて、GAE 上で Web Application を作る方法（主要なポイント）をまとめて紹介します。 echo.labstack.com 大事な宣伝 ここで利用するサンプルコードは、下記の書籍のサンプルアプリ（Python + Flask）を Golang で書き直したものです。GAE そのものの説明や今風な Web Application の作り方については、
Retrieval Augmented Generation at scale — Building a distributed system for synchronizing and…
Disclaimer: We will go into some technical and architectural details of how we do this at Neum AI — A data platform for embeddings management, optimization, and synchronization at large scale, essentially helping with large-scale RAG. As we’ve shared in other blogs in the past, getting a Retrieval Augmented Generation (RAG) application started is pretty straightforward. The problem comes when tryi
GitHub - jhawthorn/vernier: 📏 next generation CRuby profiler
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Microsoft Store - Generation Project (v1.2.3) [by @rgadguard & mkuba50]
Online link generator for Microsoft Store. Enter the link from the Microsoft Store and click on the checkbox - to get all available links.
You can redeem a gift code for hologems and full feature access here!
Software engineers are increasingly adding semantic search capabilities to applications using a strategy known as Retrieval Augmented Generation (RAG). A RAG system involves finding documents that semantically match a query and then passing the documents to a large language model (LLM) such as ChatGPT to extract the right answer using an LLM. RAG systems aim to: a) reduce the problem of hallucinat
AirPods Pro (2nd generation)
Up to 2x more Active Noise Cancellation than the previous generation. Spatial Audio takes immersion to a remarkably personal level. Touch control lets you adjust volume with a swipe. And a leap in power delivers 6 hours of battery life from a single charge. Audio performance H2. More immersive by every measure. The new Apple‑designed H2 chip is the force behind AirPods Pro and its advanced audio p
TypedDocumentNode: the next generation of GraphQL and TypeScript (The Guild)
TypedDocumentNode: the next generation of GraphQL and TypeScript // Examples are in: https://codesandbox.io/s/quizzical-browser-1em9r?file=/index.ts Using GraphQL and Typescript on the client just became a lot easier! The GraphQL Code Generator project has been around for 3 years, and we are constantly keep working on it and listening to your feedback! As we were working and thinking about the nex
Abstract We tackle the task of conditional music generation. We introduce MusicGen, a single Language Model (LM) that operates over several streams of compressed discrete music representation, i.e., tokens. Unlike prior work, MusicGen is comprised of a single-stage transformer LM together with efficient token interleaving patterns, which eliminates the need for cascading several models, e.g., hier
Our next-generation Meta Training and Inference Accelerator April 10, 2024 · 8 min read We’re sharing details about the next generation of the Meta Training and Inference Accelerator (MTIA), our family of custom-made chips designed for Meta’s AI workloads.This latest version shows significant performance improvements over MTIA v1 and helps power our ranking and recommendation ads models.MTIA is pa
How to generate text: using different decoding methods for language generation with Transformers
How to generate text: using different decoding methods for language generation with Transformers Note: Edited on July 2023 with up-to-date references and examples. Introduction In recent years, there has been an increasing interest in open-ended language generation thanks to the rise of large transformer-based language models trained on millions of webpages, including OpenAI's ChatGPT and Meta's L
Poly: Next-Generation Intelligent Cloud Storage | Join the Waitlist
Cloud Storage Platform A better cloud hosting service for your personal files, built for the generative age Join Waitlist → Beautiful and Blazing FastDitch Finder and File Explorer with a cloud storage browser that you'll actually enjoy using everyday Find anything instantly, in your own words. Spend less time putting things in folders and just describe what you want with AI-enabled multimodal sea
自動生成でさくさく実装するユニットテスト / quickly implement unit tests with automatic generation
自動生成でさくさく実装するユニットテスト / quickly implement unit tests with automatic generation
[GA4] Introducing the next generation of Analytics, Google Analytics 4 - Analytics Help
[GA4] Introducing the next generation of Analytics, Google Analytics 4 Explore Google Analytics 4, the next generation of Analytics which collects event-based data from both websites and apps GA4 is a new kind of property designed for the future of measurement: Collects both website and app data to better understand the customer journey Uses event-based data instead of session-based Includes priva
Prisma Studio | Next-generation ORM for Node.js and TypeScript
With a simple tabular interface you can quickly have a look at the data of your local database and check if your app is working correctly. Interact with your Data with full CRUD functionality. View your data any way you want by filtering, sorting and paginating it.
GitHub - aws/aws-graviton-getting-started: Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d]
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![GitHub - aws/aws-graviton-getting-started: Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d]](https://cdn-ak-scissors.b.st-hatena.com/image/square/d852093726f71f0d14f3ebedb8b79c7adba05948/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F0172f13002fd5cb1c892aa6156ad20ddf1a49935dff4ce3aeeec307546b77e95%2Faws%2Faws-graviton-getting-started)
Every annotation has a point 🔍! Check out these cheat sheets to understand how Dagger interprets them and the code it generates for you. Explanations about the generated code and Dagger annotations can be found in the cheat sheets as comments. For more information about dependency injection, why you might use Dagger in your Android app, and how to use it, check out the official Android documentat
TerraformInfrastructure as code provisioning
Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing models
Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing models Teaching computers to understand how humans write and speak, known as natural language processing (NLP), is one of the oldest challenges in AI research. There has been a marked change in approach over the past two years, however. Where research once focused on developing specific frameworks
Introducing cy.intercept - Next Generation Network Stubbing in Cypress 6.0
Introducing cy.intercept - Next Generation Network Stubbing in Cypress 6.0 Today, we're elevating the power and scope of Cypress' network handling capabilities with the introduction of the cy.intercept command in Cypress 6.0. One of the most powerful and beloved features of Cypress are easy network stubbing and spying APIs via cy.route and cy.server commands. These commands enable mocking of netwo
NVIDIAがAda Lovelaceアーキテクチャ採用のワークステーション向けGPU「NVIDIA RTX 2000 Ada Generation」を発表
現地時間2024年2月12日、NVIDIAが小型ワークステーション向けGPUとして「NVIDIA RTX 2000 Ada Generation」を発表しました。NVIDIA RTX 2000 Ada Genrationはアーキテクチャに「Ada Lovelaceアーキテクチャ」を採用することで、前モデルの「NVIDIA RTX A2000」と比較して最大1.6倍ものパフォーマンスを発揮することが可能とされています。 NVIDIA RTX 2000 Ada Generation GPU Brings Performance, Versatility for Next Era of AI-Accelerated Design and Visualization | NVIDIA Blog https://blogs.nvidia.com/blog/rtx-2000-ada/ nvidia.c
RAG（Retrieval-Augmented Generation：検索拡張生成）とは？：AI・機械学習の用語辞典 用語「RAG」について説明。ChatGPTなどのチャットAIに独自の情報源を付与する仕組みのことで、具体的には言語モデルによるテキスト生成に特定の情報源（ナレッジベース）の検索を組み合わせること。これには、生成内容の正確さを向上させるメリットがある。 連載目次 用語解説 生成系AI／LLM（大規模言語モデル）のRAG（Retrieval-Augmented Generation：検索拡張生成）とは、ChatGPTやGeminiに代表されるチャットAIに独自の情報源を付与する仕組みのことで、具体的には言語モデルによるテキスト生成に特定の知識や情報源（例えばナレッジベースなど）への検索を組み合わせることである。これにより、回答内容がより専門的かつ正確になるため、事実とは異なる内
ジョン・カビラ×川平朝清 親子が語る沖縄「J-WAVE SELECTION GENERATION TO GENERATION ～STORIES OF OKINAWA～」配信
ジョン・カビラ×川平朝清 親子が語る沖縄「J-WAVE SELECTION GENERATION TO GENERATION ～STORIES OF OKINAWA～」配信 J-WAVE（81.3FM）のインターネットオーディオ事業を担うJAVEによるデジタル音声コンテンツ配信サービス「SPINEAR」は、第57回ギャラクシー賞ラジオ部門大賞、2020年日本民間放送連盟賞ラジオ教養番組部門最優秀賞を受賞した特別番組「J-WAVE SELECTION GENERATION TO GENERATION ～STORIES OF OKINAWA～」ディレクターズカット版の配信を開始した。 2019年6月23日、沖縄「慰霊の日」にJ-WAVEで放送されたスペシャルプログラムです。 このプログラムは、戦後の沖縄の歴史を知ることで、沖縄への理解を深め、現代につながる問題について関心をもってもらうため企画
gotestsから学ぶテストコード自動生成のメカニズム / Automatic generation mechanism learned from gotests
gotestsから学ぶテストコード自動生成のメカニズム / Automatic generation mechanism learned from gotests
China’s energy sector sees robust capacity growth, led by new energy generation -demo starbucks
China’s energy sector sees robust capacity growth,cuan jp slot led by new energy generation By Global Times Published: Apr 22, 2024 05:13 PM A photo taken on March 19, 2024 shows wind turbines in a coastal area of Rongcheng city, East China's Shandong Province. The city, relying on its rich coastal wind energy resources, vigorously promotes the development of green and clean energy industries and
GitHub - keploy/keploy: Test generation for Developers. Generate tests and stubs for your application that actually work!
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Logicoolが、iPad (7th Generation) 用トラックパッド付きキーボードケース「Logicool Combo Touch Keyboard Case with Trackpad for iPad（第7世代）」を、1万8600円で5月に発売すると発表した。
ASIAN KUNG-FU GENERATION後藤「こんなことは許されない。回復を祈ります」 心の底からダサくて草。アーティストの名折れ。
実践：日本語文章生成 Transformers ライブラリで学ぶ実装の守破離 / Introduction of Japanese Text Generation with Transformers
「PyCon JP 2022」での登壇「実践：日本語文章生成 Transformers ライブラリで学ぶ実装の守破離」の発表資料 https://2022.pycon.jp/timetable?id=EEA8FG
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Yupeng Zhou1* Daquan Zhou2‡† Mingming Cheng1 Jiashi Feng2 Qibin Hou1‡†
Updates on Class Initialization in GraalVM Native Image Generation
tl;dr: Since GraalVM 19.0, application classes in native images are by default initialized at run time and no longer at image build time. Class initialization behavior can be configured using the options --initialize-at-build-time=... and --initialize-at-run-time=..., which take comma-separated lists of class names, package names, and package prefixes. To debug and understand class initialization
「Goで画像合成！」OGP画像の動的生成 / Dynamic generation of OGP images by Golang
[非公式]Go Reject Con 2021 の発表資料です https://moneyforward.connpass.com/event/228698/
Apple、A13 Bionicを搭載した新型iPhone「iPhone SE (2nd generation)」を発表 | iPhone | 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が、A13 Bionicを搭載した新型iPhone「iPhone SE (2nd generation)」を4月24日から発売すると発表しています。 iPhone 8の4.7インチRetina HDディスプレイを継続採用しています。 iPhone の充電が必要な状態になっても最大５時間までエクスプレスカードが使える「予備電力機能付きエクスプレスカード」に対応しています。 バッテリー性能は、ビデオ再生（ストリーミング）は最大8時間、ビデオ再生は最大13時間（iPhone 8と同じ）、 オーディオ再生は最大40時間（iPhone 8と同じ）となります。 ホワイト、ブラック、(PRODUCT)REDの３色がラインアップされています。 フロントは全てブラッ
COVID-19 accelerated a decade-long shift to remote work by normalizing working from home on a large scale. Indeed, 75% of US employees in a 2021 survey reported a personal preference for working remotely at least one day per week1, and studies estimate that 20% of US workdays will take place at home after the pandemic ends2. Here we examine how this shift away from in-person interaction affects in
GitHub - antfu-collective/vite-ssg: Static site generation for Vue 3 on Vite
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東京・渋谷の渋谷パルコ2F OIL by 美術手帖ギャラリーで開催されていた陶芸のグループ展「仮想世代陶芸 Virtual generation pottery」をみてきました。 会場では、宮下サトシさん、酒井智也さん、乙うたろうさんが、幼少期から映画やアニメ、マンガなどの「仮想世界」への興味をモチベーションに作家たち自身が「仮想世代陶芸」というテーマで制作した作品をみることができました。 – – AD – – 展示作品 宮下サトシ宮下サトシ宮下サトシ乙うたろう乙うたろう酒井智也酒井智也酒井智也酒井智也酒井智也酒井智也酒井智也 関連リンク OIL by 美術手帖ギャラリー
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Holara - Anime Image Generation - Holara
Seven Failure Points When Engineering a Retrieval Augmented Generation System
MusicGen: Simple and Controllable Music Generation
Our next generation Meta Training and Inference Accelerator
Dagger code generation cheat sheets
Terraform provider code generation now in tech preview
RAG（Retrieval-Augmented Generation：検索拡張生成）とは？
iPad (7th Generation) でもトラックパッド付きキーボード Logicoolが5月発売
ASIAN KUNG-FU GENERATION後藤「アベ○ね♪」
Virtual communication curbs creative idea generation - Nature
「仮想世代陶芸 Virtual generation pottery」展 へ toomilog