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AIに手足ができる!Zapier Natural Language Actions + LangChainがすごいので試してみた【LangChain・Zapier NLA・OpenAI】 はじめに 新規事業統括部Passregiチームの山本です。 3/16にLangChainのサイトで、Zapier Natural Language Actions(以下Zapier NLA)との連携についての記事がありました。 https://blog.langchain.dev/langchain-zapier-nla/ 今回は、このページを参考に、簡単な解説や考えたこと、実際に動かしてみた様子について記載しようと思います。 (補足) Zapierについて Zapierは世の中の多数あるサービス(GmailやSlackなど)の操作を自動化できるサービス(SaaS自動化サービス)です。設定はWeb画面でノ
Google Cloud、運用監視のメトリクスデータを自在に操作できる「Monitoring Query Language」(MQL)正式リリース Google Cloudは、運用監視のマネージドサービスであるGoogle Cloud Monitoringの時系列データに対して操作が可能な問い合わせ言語「Monitoring Query Language」(MQL)の正式リリースを発表しました。 これまでGoogle Cloud Monitoringでは収集した運用監視データに対してダッシュボードのメニューから設定を行うことで、グラフなどデータの視覚化やアラームの設定、フィルタリングなどを行っていました。 Monitoring Query Languageを用いることで、これらをすべてコードとして組み立て、表現できるようになり、より柔軟性の高い運用監視が可能になります。 ダッシュボードにQ
Edit: TenetLang now has a github repo, which I'll be updating as I continue to work on it with GPT-4. Open a PR or submit a feature request! GPT-4GPT-4 was released on Tuesday, and on my sector of Twitter, many of the smartest people I know were losing their brilliant minds. And for good reason; many wonderful things have been made with GPT-3 class of LLMs, keeping a frenetic pace that has continu
Large Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS). These models, trained on massive amounts of data using self-supervised learning, have demonstrated remarkable success in learning universal representations and have the potential to enhance various
先日、Gopls の v0.2.0 がリリースされました。 v0.2.0 https://github.com/golang/go/issues/33030#issuecomment-549629508 リリースノートに書かれていますが、このバージョンから completeUnimported に対応しています。fmt が import されていなくても fmt.Println が補完できる様になります。ただしデフォルトでは無効になっています。Visual Studio Code であれば以下を settings.json に含める事で使える様になります。 "gopls": { "completeUnimported": true }, また vim-lsp をお使いであれば以下の様に設定する事で使える様になります。 if executable('gopls') augroup LspGo
We recently added Python support to Wasm Language Runtimes. This article provides an overview of how Python works in WebAssembly environments and provides a step by step guide on how to use it. At VMware OCTO WasmLabs we want to grow the WebAssembly ecosystem by helping developers adopt this new and exciting technology. Our Wasm Language Runtimes project aims to provide up-to-date, ready-to-run We
LMQL Playgroundでクエリを試すLMQLには動作を簡単に検証できるPlaygroundが用意されています。ローカルでPlaygroundを起動することもできます。 まずはGetting Startedで紹介されている以下のクエリを実行します。 argmax "Hello[WHO]" from "openai/text-ada-001" where len(WHO) < 10「Run」ボタンをクリックするとOpenAIのAPI KEYを求められるので、入力します。 実行するとModel Responseの枠に結果が表示されます。 LMQLの基本構造LMQLは記法的にはSQLと似ていて、以下のような構造を持っています。 デコーダ節(Decoder Clause): テキスト生成に使用するデコード・アルゴリズムを指定します。LMQLでは様々なデコード・アルゴリズムを選択することができ
Russ Cox, for the Go team 10 November 2021 Today we celebrate the twelfth birthday of the Go open source release. We have had an eventful year and have a lot to look forward to next year. The most visible change here on the blog is our new home on go.dev, part of consolidating all our Go web sites into a single, coherent site. Another part of that consolidation was replacing godoc.org with pkg.go.
The Rust Programming Language 日本語版 著:Steve Klabnik、Carol Nichols、貢献:Rustコミュニティ このテキストのこの版ではRust 1.58(2022年1月13日リリース)かそれ以降が使われていることを前提にしています。 Rustをインストールしたりアップデートしたりするには第1章の「インストール」節を読んでください。 HTML版はhttps://doc.rust-lang.org/stable/book/で公開されています。 オフラインのときは、rustupでインストールしたRustを使ってrustup docs --bookで開けます。 訳注:日本語のHTML版はhttps://doc.rust-jp.rs/book-ja/で公開されています。 rustupを使ってオフラインで読むことはできません。 また、コミュニティによるい
We investigate the potential implications of large language models (LLMs), such as Generative Pre-trained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own. Using a new rubric, we assess occupations based on their alignment with LLM capabilities, integrating both human expertise and GPT-4 classifica
Cooklang and the tools we’ve built to use it, you can: simplify your personal recipe management;streamline your shopping routine;make cooking more fun.Here’s how the Cooklang ecosystem makes that happen: All recipes are human-readable text files.Everything is a file. No databases. And you have complete control over your information.All the tools are simple, focused, and efficient; the UNIX way.Get
python.md Python is not a great programming language. It's great for beginners. Then it turns into a mess. What's good What should be good What's "meh" What's bad What's bad about the culture What's good A huge ecosystem of good third-party libraries. Named arguments. Multiple inheritance. What should be good It's easy to learn and read. However, it's only easy to learn and read at the start. Once
I remember the first time I used the v1.0 of Visual Basic. Back then, it was a program for DOS. Before it, writing programs was extremely complex and I’d never managed to make much progress beyond the most basic toy applications. But with VB, I drew a button on the screen, typed in a single line of code that I wanted to run when that button was clicked, and I had a complete application I could now
Go vulnerability database The Go vulnerability database (https://vuln.go.dev) is a comprehensive source of information about known vulnerabilities in importable packages in public Go modules. Vulnerability data comes from existing sources (such as CVEs and GHSAs) and direct reports from Go package maintainers. This information is then reviewed by the Go security team and added to the database. We
The Go 1.18 release adds support for generics. Generics are the biggest change we’ve made to Go since the first open source release. In this article we’ll introduce the new language features. We won’t try to cover all the details, but we will hit all the important points. For a more detailed and much longer description, including many examples, see the proposal document. For a more precise descrip
Update: this post has now taken off on Hacker News and Reddit. Thank you all! Who’s this tutorial for?This series of compiler tutorials is for people who don’t just want to create a toy language. You want objects. You want polymorphism. You want concurrency. You want garbage collection. Wait you don’t want GC? Okay, no worries, we won’t do that :P If you’ve just joined the series at this stage, he
But to get at whatever the hell I mean by that, we need to talk about why async Rust exists in the first place. Let’s talk about: Modern Concurrency: They’re Green, They’re Mean, & They Ate My Machine Suppose we want our code to go fast. We have two big problems to solve: We want to use the whole computer. Code runs on CPUs, and in 2023, even my phone has eight of the damn things. If I want to use
Julie Qiu, for the Go security team 13 July 2023 We are excited to announce that govulncheck v1.0.0 has been released, along with v1.0.0 of the API for integrating scanning into other tools! Go’s support for vulnerability management was first announced last September. We have made several changes since then, culminating in today’s release. This post describes Go’s updated vulnerability tooling, an
The Development of the C Language* Dennis M. Ritchie Bell Labs/Lucent Technologies Murray Hill, NJ 07974 USA dmr@bell-labs.com ABSTRACT The C programming language was devised in the early 1970s as a system implementation language for the nascent Unix operating system. Derived from the typeless language BCPL, it evolved a type structure; created on a tiny machine as a tool to improve a meager progr
Ian Lance Taylor and Robert Griesemer 16 June 2020 Introduction It’s been almost a year since we last wrote about the possibility of adding generics to Go. It’s time for an update. Updated design We’ve been continuing to refine the generics design draft. We’ve written a type checker for it: a program that can parse Go code that uses generics as described in the design draft and report any type err
Cerebras-GPT: A Family of Open, Compute-efficient, Large Language Models Cerebras open sources seven GPT-3 models from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models set new benchmarks for accuracy and compute efficiency. Abstract State-of-the-art language models are extremely challenging to train; they require huge compute budgets, complex distributed com
The Go Blog More powerful Go execution traces Michael Knyszek 14 March 2024 The runtime/trace package contains a powerful tool for understanding and troubleshooting Go programs. The functionality within allows one to produce a trace of each goroutine’s execution over some time period. With the go tool trace command (or the excellent open source gotraceui tool), one may then visualize and explore t
GMOペパボの新卒エンジニア向け機械学習研修2023における座学の資料です。 機械学習について教師あり学習の考え方は知っている、ぐらいの方を対象に、大規模言語モデル(Large Language Model: LLM)がどのようにテキストを出力して、どのように学習しているかなど解説しています。 (LLMの個々のモデルの詳細やLLMのライブラリなどは対象外です) 研修では、この他にも機械学習自体の初学者向けの座学など、さまざまなコンテンツを実施しました。詳細は以下のブログをご覧ください。 https://rand.pepabo.com/article/2023/06/15/ml-training-report-2023/
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Header ImageHow Replit trains Large Language Models (LLMs) using Databricks, Hugging Face, and MosaicML IntroductionLarge Language Models, like OpenAI's GPT-4 or Google's PaLM, have taken the world of artificial intelligence by storm. Yet most companies don't currently have the ability to train these models, and are completely reliant on only a handful of large tech firms as providers of the techn
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