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The GPT-4.1 family of models represents a significant step forward from GPT-4o in capabilities across coding, instruction following, and long context. In this prompting guide, we collate a series of important prompting tips derived from extensive internal testing to help developers fully leverage the improved abilities of this new model family. Many typical best practices still apply to GPT-4.1, s
こんにちは😉 @ryokotmngです。 今日は社内ドキュメントの、Rust初心者向けのクックブックを公開しようと思います。 私自身コードを書くのに四苦八苦していた頃にとても助けられたので、Rustをはじめたばかりの方の参考になれば嬉しいです。 目次 [toc] はじめに この記事では、The Bookに記載されている知識を前提としています。 Rustを全く書いたことがない方は、先に読んでみることをお勧めします。 サンプルコードが結構長いこと、実行環境があった方が良い内容も多いことから、サンプルコードは大体Rust Playgroundのリンクとなっています。 ぜひご自身で修正して遊んでみてください。 単位つきの計算を型で厳格に縛る 例えば複数の長さの単位 (mm, cm, mなど) を扱う場合に、単位が合っていない長さ同士の計算をする場合、単位を揃える必要がありますね。 この時、最終的
OpenAI Cookbook
GPT-5 Prompt Migration and Improvement Using the New Optimizer
Important details about GPT-5-Codex and this guide: This model is not a drop-in replacement for GPT-5, as it requires significantly different prompting. This model is only supported with the Responses API and does not support the verbosity parameter. This guide is meant for API users of GPT-5-Codex and creating developer prompts, not for Codex users, if you are a Codex user refer to this prompting
Anoop Kotha(OpenAI), Julian Lee(OpenAI), Eric Zakariasson, et al. GPT-5, our newest flagship model, represents a substantial leap forward in agentic task performance, coding, raw intelligence, and steerability. While we trust it will perform excellently “out of the box” across a wide range of domains, in this guide we’ll cover prompting tips to maximize the quality of model outputs, derived from o
GitHub - openai/openai-cookbook: Examples and guides for using the OpenAI API
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一部のおじさんは新しいものが出てきた時にいったん拒否してしまう岡智也氏：それでは、「アンチCDKだったわたしが『CDK、できる……』と思ったところ」ということで、岡からプレゼンします。 岡と申します。今日は、個人として参加しており、私が話したことや資料の内容は、所属する組織とはなんら関係ありませんので、あらかじめご了承いただければと思います。 まず、「アンチのくせにCDKカンファレンスにお前は何をしにきたんや」というところなんですけれども。やはり歳を取ってくると、新しいものが出てきた時に、おっちゃんは拒否したくなっちゃうんですよね。 あれこれ理由をつけて、まずは否定から入るみたいなところありますよね。例えば「CDK？」「もうCloudFormationとか、Terraformとかあるし、なんでそんなの使わなあかんの？」とかですね。 あと「え？ TypeScriptやPythonでコード書く
筆者がネタに苦しんでいるうちに、マイクロソフトがAzureにChatGPTを含むOpenAIのサービスを採用すると発表したり、ChatGPT Professionalのウェイトリストが用意されたりと、世の情勢は活発にうごいていますね（かわさき）。 OpenAI Cookbook OpenAIは「OpenAI Cookbook」と呼ばれるリポジトリをGitHubで公開しています。これは、OpenAIが提供するAPIを使って何らかのタスクを行うためのサンプルコードやガイドを示したものです。今回はそのうちのGPT 3に関連する内容を幾つか紹介しましょう。ただし、OpenAI Cookbookで紹介されているノウハウはChatGPTに特化して書かれているわけではないことには注意してください。
OpenAI公式のサンプルコード集「openai-cookbook」のコードを試してみた | DevelopersIO
openai-cookbookのサンプルコードを実行してみました。openai-cookbookはOpenAI の公式リポジトリの一つで OpenAI API で一般的なタスクを実行するためのガイド＋サンプル コード集です！ お疲れさまです。とーちです。 連日、ChatGPT 関連のニュースで盛り上がってますね。 私も OpenAI の API を使ってなにか作ってみたいと思っていたところ、社内からの情報で、 openai-cookbookという git リポジトリがあることを知ったので試してみました。 上記のリポジトリは OpenAI の公式リポジトリの一つで OpenAI API で一般的なタスクを実行するためのガイド＋サンプル コード集となっています。 Guides & examples を読んでみる リポジトリのトップページのGuides & examplesから読み進めていくこと
GPT-5.1, our newest flagship model, is designed to balance intelligence and speed for a variety of agentic and coding tasks, while also introducing a new none reasoning mode for low-latency interactions. Building on the strengths of GPT-5, GPT-5.1 is better calibrated to prompt difficulty, consuming far fewer tokens on easy inputs and more efficiently handling challenging ones. Along with these be
openai-cookbook/examples/How_to_call_functions_with_chat_models.ipynb at main · openai/openai-cookbook
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Think of prompting like briefing a cinematographer who has never seen your storyboard. If you leave out details, they’ll improvise – and you may not get what you envisioned. By being specific about what the “shot” should achieve, you give the model more control and consistency to work with. But leaving some details open can be just as powerful. Giving the model more creative freedom can lead to su
GitHub - nsriram/lambda-the-terraform-way: AWS Lambda using Terraform., an Introductory Cookbook
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openai-cookbook/examples/Question_answering_using_embeddings.ipynb at main · openai/openai-cookbook
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anthropic-cookbook/patterns/agents/prompts at main · anthropics/anthropic-cookbook
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Using reasoning for data validation | OpenAI Cookbook
In this guide, we’ll explore how to use the o1 model, specifically o1-preview, to perform data validation through reasoning. We’ll walk through a practical example involving a synthetic medical dataset and demonstrate how to assess the model’s accuracy in identifying issues within the data. Overview Data validation is a critical step in ensuring the quality and reliability of datasets, especially
langchain/cookbook at master · langchain-ai/langchain
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openai-cookbook/techniques_to_improve_reliability.md at main · openai/openai-cookbook
Techniques to improve reliability When GPT-3 fails on a task, what should you do? Search for a better prompt that elicits more reliable answers? Invest in thousands of examples to fine-tune a custom model? Assume the model is incapable of the task, and move on? There is no simple answer - it depends. However, if your task involves logical reasoning or complexity, consider trying the techniques in
Who This Book Is ForHow This Book Is OrganizedWhat You Need to Use This BookConventions Used in This BookUsing Code ExamplesO’Reilly Online LearningHow to Contact UsAcknowledgments 1.1. Why Security Is Critical1.2. What Is Meant by Cloud Native Security?1.3. Where Security Fits in the Modern Organization1.4. The Purpose of Modern Security1.5. DevSecOps1.6. How to Measure the Impact of Security1.7.
GitHub - zigcc/zig-cookbook: Simple Zig programs that demonstrate good practices to accomplish common programming tasks.
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openai-cookbook/examples/gpt-5/gpt-5_prompting_guide.ipynb at main · openai/openai-cookbook
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How to run gpt-oss locally with Ollama | OpenAI Cookbook
Want to get OpenAI gpt-oss running on your own hardware? This guide will walk you through how to use Ollama to set up gpt-oss-20b or gpt-oss-120b locally, to chat with it offline, use it through an API, and even connect it to the Agents SDK. Note that this guide is meant for consumer hardware, like running a model on a PC or Mac. For server applications with dedicated GPUs like NVIDIA’s H100s, che
Using PLANS.md for multi-hour problem solving | OpenAI Cookbook
Oct 7, 2025Using PLANS.md for multi-hour problem solving Codex and the gpt-5-codex model can be used to implement complex tasks that take significant time to research, design, and implement. The approach described here is one way to prompt the model to implement these tasks and to steer it towards successful completion of a project. These plans are thorough design documents, and "living documents"
Fine-tuning with gpt-oss and Hugging Face Transformers | OpenAI Cookbook
Aug 5, 2025Fine-tuning with gpt-oss and Hugging Face Transformers Authored by: Edward Beeching, Quentin Gallouédec, and Lewis Tunstall Large reasoning models like OpenAI o3 generate a chain-of-thought to improve the accuracy and quality of their responses. However, most of these models reason in English, even when a question is asked in another language. In this notebook, we show how OpenAI's open
Self-supervised learning, dubbed the dark matter of intelligence, is a promising path to advance machine learning. Yet, much like cooking, training SSL methods is a delicate art with a high barrier to entry. While many components are familiar, successfully training a SSL method involves a dizzying set of choices from the pretext tasks to training hyper-parameters. Our goal is to lower the barrier
Assistants API Overview (Python SDK) | OpenAI Cookbook
The new Assistants API is a stateful evolution of our Chat Completions API meant to simplify the creation of assistant-like experiences, and enable developer access to powerful tools like Code Interpreter and File Search. Chat Completions API vs Assistants API The primitives of the Chat Completions API are Messages, on which you perform a Completion with a Model (gpt-4o, gpt-4o-mini, etc). It is l
Introduction to GPT-4o and GPT-4o mini | OpenAI Cookbook
GPT-4o ("o" for "omni") and GPT-4o mini are natively multimodal models designed to handle a combination of text, audio, and video inputs, and can generate outputs in text, audio, and image formats. GPT-4o mini is the lightweight version of GPT-4o. Background Before GPT-4o, users could interact with ChatGPT using Voice Mode, which operated with three separate models. GPT-4o integrates these capabil
本書はUnityのシェーダーグラフに特化した内容となっています。 🍎がついたチャプターでは、シェーダーグラフの基本的なノードを紹介し、ノードの使用例をいくつか紹介します。 🍍がついたチャプターでは、シェーダーグラフを使った表現をレシピ感覚で紹介していきます。 ※ 無料公開期間は終了しました (2021-03-23) Ver 1.10.0 ■サンプルプロジェクト https://github.com/rngtm/ShaderGraphCookBookSample ■環境 Unity 2020.2.0f1 Universal RP 10.2.2 誤字・脱字などを見つけましたら、読者コミュニティにて報告いただけると助かります。 https://zenn.dev/r_ngtm/scraps/f727eabdaffeeb
llama-cookbook/recipes/quickstart/NotebookLlama at main · meta-llama/llama-cookbook
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GitHub - anthropics/anthropic-cookbook: A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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We have continued our compatible by design approach from Windows 10 to Windows 11, through our multiple efforts across validation, discovery and partner outreach. Based on these efforts, we have a positive signal of the continued compatibility with Windows 11, to the same standard as Windows 10. For cases where changes may cause a compatibility issues, the App Assure program provides the necessary
Complete NGINX Cookbook
F5のサイト サポート ポータル F5製品およびサービスに関するセルフサービス ヘルプの記事 DevCentral 弊社主催のコミュニティでつながり、学ぶ My F5 サブスクリプションおよび登録キーの管理 Partner Central F5パートナーのためのリソースおよびサポート ポータル LearnF5 Learn to use F5 products F5へのお問い合わせ F5販売担当部へのお問い合わせ 詳しくは、F5の営業担当社にお問い合わせください F5サポートへのお問い合わせ お近くのサポート担当者にお問い合わせください プロフェッショナルサービスへのお問い合わせ F5ソリューションを最適化するためのサポートを受ける 無料トライアル 複数の環境にわたりアプリケーションの安全性、速度、信頼性を確保するこれらの製品を、無料でお試しください。 F5 Distributed Clou
openai-cookbook を VS Code から WSL 内の Ubuntu で実行できるようにしてみた | DevelopersIO
Open AI API の使用例と使い方のガイドが openai-cookbook として GitHub で公開されています。 中身は Jupyter Notebook 集となっており、今回はこれを VS Code をガワにして WSL 内の Ubuntu で実行してみたいと思います。 環境 この記事を執筆するにあたり私が試したのは以下の環境とバージョンになります。 Windows 11 22H2 WSL バージョン: 1.1.3.0 (WSL2) VS Code 1.76.2 Ubuntu 22.04.2 LTS Python 3.10.6 事前準備 WSL WSL環境のセットアップについては省略します。公式ドキュメントを参照してください。 https://learn.microsoft.com/ja-jp/windows/wsl/install VS Code Windows 上の V
Orchestrating Agents: Routines and Handoffs | OpenAI Cookbook
Oct 10, 2024Orchestrating Agents: Routines and Handoffs When working with language models, quite often all you need for solid performance is a good prompt and the right tools. However, when dealing with many unique flows, things may get hairy. This cookbook will walk through one way to tackle this. We'll introduce the notion of routines and handoffs, then walk through the implementation and show h
Custom LLM as a Judge to Detect Hallucinations with Braintrust | OpenAI Cookbook
Oct 14, 2024Custom LLM as a Judge to Detect Hallucinations with Braintrust Let's say you're working on a customer service bot and trying to evaluate the quality of its responses. Consider a question like "What is your return policy?" If the correct answer is "You can return items within 30 days of purchase," but your bot generates "You can return items within 30 days," how would you evaluate wheth
Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK | OpenAI Cookbook
Sep 9, 2025Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK AI agents often operate in long-running, multi-turn interactions, where keeping the right balance of context is critical. If too much is carried forward, the model risks distraction, inefficiency, or outright failure. If too little is preserved, the agent loses coherence. Here, context refers to the
資料内に記載のリンク Anthropic Cookbook https://github.com/anthropics/anthropic-cookbook Context Window のお話 https://speakerdeck.com/schroneko/context-wind…
GitHub - google-gemini/cookbook: Examples and guides for using the Gemini API
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OpenAI Cookbook
Open-weight models are freely available base models that you can fine-tune or run locally.
Incremental models are one of the most powerful features of dbt. Let’s review common patterns for implementing incrementals. OverviewIncremental models are a dbt feature that allows us to manage large tables by adding subsets of data. dbt Query Pattern In dbt, we write templates that generate SQL.We use Jinja macros to declaratively generate our SQL queries. These macros output text and are identi
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GPT-4.1 Prompting Guide | OpenAI Cookbook
Rust Cookbook for Beginners - CADDi Tech Blog
GPT-5-Codex Prompting Guide | OpenAI Cookbook
GPT-5 prompting guide | OpenAI Cookbook
はじまりは神本『AWS Cookbook』との邂逅 元アンチCDKの私が「CDK、できる…」と思った理由 | ログミーBusiness
OpenAI Cookbookで学ぶChatGPTプロンプトの基礎の基礎
GPT-5.1 Prompting Guide | OpenAI Cookbook
Sora 2 Prompting Guide | OpenAI Cookbook
Cloud Native Security Cookbook
A Cookbook of Self-Supervised Learning
Unity ShaderGraph CookBook vol.1【ShaderGraph 入門】
Compatibility for Windows 11- Compatibility Cookbook
Anthropic Cookbook のおすすめレシピ
dbt Incremental Cookbook
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