跳到主要内容

内容介绍

1、代码文件

openai-cookbook中文翻译项目已经放在github上 https://github.com/aidoczh/openai-cookbook-zh

2、内容导航

点击标题可以导航页面,点ipynb笔记可以在线看ipynb文件

类别中文标题英文标题IPynb笔记
basic如何使用大型语言模型how to work with large language models-
basic文本比较示例text comparison examples-
basic如何撰写优质文档what makes documentation good-
basic网络上的相关资源related resources-
basic内容导航index-
basic内容导航test-
basic提高可靠性的技巧techniques to improve reliability-
basic长文档内容提取Entity extraction for long documentsnbviewer
basic在2D中可视化嵌入向量Visualizing embeddings in 2Dnbviewer
basic如何格式化输入到ChatGPT模型How to format inputs to ChatGPT modelsnbviewer
basic用户和产品嵌入User and product embeddingsnbviewer
basic使用客户服务所需的工具Using tool required for customer servicenbviewer
basic使用嵌入Using embeddingsnbviewer
basic使用嵌入进行分类Classification using embeddingsnbviewer
basic从数据集中获取嵌入向量Get embeddings from datasetnbviewer
basic解析PDF文档用于RAG应用Parse PDF docs for RAGnbviewer
basic在Python中使用OpenAI进行K-means聚类Clusteringnbviewer
basic在3D中可视化嵌入向量Visualizing embeddings in 3Dnbviewer
basic使用函数调用进行微调Fine tuning for function callingnbviewer
basic使用多步提示编写单元测试Unit test writing using a multi-step promptnbviewer
basic使用嵌入进行回归Regression using embeddingsnbviewer
basic使用图数据库进行检索增强生成RAG with graph dbnbviewer
basic如何在知识库中使用函数How to call functions for knowledge retrievalnbviewer
basic总结长文档Summarizing long documentsnbviewer
basic自定义嵌入Customizing embeddingsnbviewer
basic交易分类的聚类Clustering for transaction classificationnbviewer
basic使用Batch API进行批处理batch processingnbviewer
basic如何使用LangChain构建一个使用工具的代理How to build a tool-using agent with Langchainnbviewer
basic合成数据生成(第一部分)SDG1nbviewer
basic使用OpenAPI规范调用函数Function calling with an OpenAPI specnbviewer
basic使用基于嵌入的搜索进行问答Question answering using embeddingsnbviewer
basic命名实体识别(NER)以丰富文本Named Entity Recognition to enrich textnbviewer
basic如何通过新的seed参数使您的完成输出具有可重现性Reproducible outputs with the seed parameternbviewer
basic如何对聊天模型进行微调How to finetune chat modelsnbviewer
basic使用嵌入进行零样本分类Zero-shot classification with embeddingsnbviewer
basic如何流式传输完成内容How to stream completionsnbviewer
basic嵌入的文本超过模型的最大上下文长度Embedding long inputsnbviewer
basic使用GPT-4o的视觉能力和TTS API处理和叙述视频GPT with vision for video understandingnbviewer
basic使用助手API(GPT-4)和DALL·E-3创建幻灯片Creating slides with Assistants API and DALL-E3nbviewer
basic如何处理速率限制How to handle rate limitsnbviewer
basic使用嵌入和最近邻搜索进行推荐Recommendation using embeddingsnbviewer
basic如何使用防护栏How to use guardrailsnbviewer
basic使用GPT-4V为图像添加标签和标题Tag caption images with GPT4Vnbviewer
basic嵌入维基百科文章以进行搜索Embedding Wikipedia articles for searchnbviewer
basic如何将GPT-4o与RAG结合起来 - 创建一个服装搭配AppHow to combine GPT4o with RAG Outfit Assistantnbviewer
basic在ELT工作流中使用GPT-4o作为OCR替代方案的数据提取和转换Data extraction transformationnbviewer
basic提升Whisper转录质量:预处理和后处理技术Whisper processing guidenbviewer
basic调用附近地点的功能:利用Google Places API和客户个人资料Function calling finding nearby placesnbviewer
basic使用搜索API和重新排名进行问答Question answering using a search APInbviewer
basic助手 API 概述(Python SDK)Assistants API overview pythonnbviewer
basic使用CLIP嵌入和GPT-4 Vision的多模态RAGcustom image embedding searchnbviewer
basic使用logprobs进行分类和问答评估Using logprobsnbviewer
basic如何使用tiktoken计算标记数How to count tokens with tiktokennbviewer
basic使用交叉编码器进行搜索结果重新排序Search reranking with cross-encodersnbviewer
basic交易的多类别分类Multiclass classification for transactionsnbviewer
basic使用嵌入进行代码搜索Code search using embeddingsnbviewer
basic微调分类示例Fine-tuned classificationnbviewer
basic使用多步提示编写单元测试(使用旧API)Unit test writing using a multi-step prompt with older completions APInbviewer
basic如何使用 Node.js SDK 构建一个代理How to build an agent with the node sdknbviewer
basic如何使用审查 APIHow to use moderationnbviewer
basic处理转录拼写错误:提示 vs 后处理Whisper correct misspellingnbviewer
basic使用嵌入进行语义文本搜索Semantic text search using embeddingsnbviewer
basic开发幻觉防护栏Developing hallucination guardrailsnbviewer
basic如何使用聊天模型调用函数How to call functions with chat modelsnbviewer
basicWhisper提示指南Whisper prompting guidenbviewer
basic为聊天模型微调准备和分析数据Chat finetuning data prepnbviewer
vector_databases向量数据库README-
vector_databasesKusto 作为向量数据库README-
vector_databases使用Hologres作为OpenAI嵌入向量数据库Getting started with Hologres and OpenAInbviewer
vector_databases使用Chroma和OpenAI进行强大的问答hyde-with-chroma-and-openainbviewer
vector_databases使用Chroma进行嵌入搜索Using Chroma for embeddings searchnbviewer
vector_databases使用Redis进行嵌入式搜索Using Redis for embeddings searchnbviewer
vector_databases使用Redis作为OpenAI的向量数据库getting-started-with-redis-and-openainbviewer
vector_databasesRedisREADME-
vector_databases使用Redis和OpenAI运行混合VSS查询redis-hybrid-query-examplesnbviewer
vector_databases使用Redis作为OpenAI Chat的上下文存储redisqnanbviewer
vector_databases使用OpenAI将Redis向量存储为JSONredisjsonnbviewer
vector_databases使用Typesense进行嵌入式搜索Using Typesense for embeddings searchnbviewer
vector_databasesTypesenseREADME-
vector_databases将Azure AI Search用作OpenAI嵌入向量数据库Getting started with azure ai search and openainbviewer
vector_databases使用PolarDB-PG作为OpenAI嵌入向量数据库Getting started with PolarDB and OpenAInbviewer
vector_databasesMongoDB Atlas 向量搜索README-
vector_databasesSupabase 向量数据库README-
vector_databases使用 Supabase Vector 进行语义搜索semantic-searchnbviewer
vector_databasesPinecone 向量数据库README-
vector_databases使用Pinecone进行检索增强生成问答Gen QAnbviewer
vector_databases使用Pinecone进行嵌入式搜索Using Pinecone for embeddings searchnbviewer
vector_databases使用Pinecone对GPT-4进行检索增强GPT4 Retrieval Augmentationnbviewer
vector_databases使用Pinecone和OpenAI进行语义搜索Semantic Searchnbviewer
vector_databases使用Neon Postgres进行向量相似性搜索neon-postgres-vector-search-pgvectornbviewer
vector_databases什么是 Neon?README-
vector_databases使用Langchain、Qdrant和OpenAI进行问答QA with Langchain Qdrant and OpenAInbviewer
vector_databases使用Qdrant作为OpenAI嵌入向量数据库Getting started with Qdrant and OpenAInbviewer
vector_databases使用Qdrant进行嵌入式搜索Using Qdrant for embeddings searchnbviewer
vector_databases使用向量嵌入的哲学,通过CQL访问OpenAI和Cassandra / Astra DBPhilosophical Quotes cassIOnbviewer
vector_databases使用向量嵌入的哲学,OpenAI 和 Cassandra / Astra DBPhilosophical Quotes CQLnbviewer
vector_databases使用 Astra DB 和 Cassandra 的 RAGREADME-
vector_databases使用向量嵌入的哲学,OpenAI 和 Astra DBPhilosophical Quotes AstraPynbviewer
vector_databases使用MyScale作为OpenAI嵌入向量数据库Getting started with MyScale and OpenAInbviewer
vector_databases使用MyScale进行嵌入式搜索Using MyScale for embeddings searchnbviewer
vector_databases使用Zilliz和OpenAI入门Getting started with Zilliz and OpenAInbviewer
vector_databases使用 Zilliz 和 OpenAI 进行筛选搜索Filtered search with Zilliz and OpenAInbviewer
vector_databases使用Weaviate与OpenAI向量化模块进行嵌入搜索getting-started-with-weaviate-and-openainbviewer
vector_databases使用Weaviate与生成式OpenAI模块进行生成式搜索generative-search-with-weaviate-and-openainbviewer
vector_databases使用Weaviate与OpenAI向量化模块进行混合搜索hybrid-search-with-weaviate-and-openainbviewer
vector_databases使用Weaviate进行嵌入搜索Using Weaviate for embeddings searchnbviewer
vector_databases在Weaviate中使用OpenAI Q&A模块进行问答question-answering-with-weaviate-and-openainbviewer
vector_databasesWeaviate OpenAIREADME-
vector_databases使用LangChain、Deep Lake和OpenAI进行问答deeplake langchain qanbviewer
vector_databases使用Langchain、Tair和OpenAI进行问答QA with Langchain Tair and OpenAInbviewer
vector_databases使用Tair作为OpenAI嵌入向量数据库Getting started with Tair and OpenAInbviewer
vector_databases使用Elasticsearch和OpenAI进行检索增强生成elasticsearch-retrieval-augmented-generationnbviewer
vector_databases使用Elasticsearch和OpenAI进行语义搜索elasticsearch-semantic-searchnbviewer
vector_databasesElasticsearchREADME-
vector_databases使用Milvus和OpenAI入门Getting started with Milvus and OpenAInbviewer
vector_databases使用Milvus和OpenAI进行过滤搜索Filtered search with Milvus and OpenAInbviewer
vector_databases使用Langchain、AnalyticDB和OpenAI进行问答QA with Langchain AnalyticDB and OpenAInbviewer
vector_databases将AnalyticDB用作OpenAI嵌入向量数据库Getting started with AnalyticDB and OpenAInbviewer
vector_databases简介OpenAI wikipedia semantic searchnbviewer
azureAzure嵌入示例embeddingsnbviewer
azureAzure函数示例functionsnbviewer
azureAzure聊天完成示例chatnbviewer
azureAzure音频低语(预览)示例whispernbviewer
azureAzure聊天完成模型与您自己的数据(预览)chat with your own datanbviewer
azureAzure DALL·E 图像生成示例DALL-Enbviewer
azureAzure嵌入示例embeddingsnbviewer
azureAzure函数示例functionsnbviewer
azureAzure完成示例completionsnbviewer
azureAzure聊天完成示例(预览)chatnbviewer
azureAzure音频耳语(预览)示例whispernbviewer
azure使用自己的数据在Azure聊天完成模型中(预览版)chat with your own datanbviewer
book_translation将用LaTeX编写的斯洛文尼亚语书籍翻译成英语translate latex booknbviewer
fine-tuned_qa使用Qdrant和Few-Shot Learning对OpenAI模型进行检索增强生成(RAG)的微调ft retrieval augmented generation qdrantnbviewer
fine-tuned_qa收集关于2020年奥运会的维基百科数据olympics-1-collect-datanbviewer
fine-tuned_qa创建一个合成的问答数据集olympics-2-create-qanbviewer
fine-tuned_qa训练一个专门用于问答的微调模型olympics-3-train-qanbviewer
gpt4oGPT-4o简介introduction to gpt4onbviewer
multimodal如何使用带有函数调用的GPT-4 VisionUsing GPT4 Vision With Function Callingnbviewer
third_party在W&B中可视化嵌入Visualizing embeddings in wandbnbviewer
third_party使用Weights & Biases对ChatGPT-3.5和GPT-4进行微调GPT finetuning with wandbnbviewer
third_party使用W&B Weave监控OpenAI APIOpenai monitoring with wandb weavenbviewer
third_party在Atlas中可视化Open AI嵌入Visualizing embeddings with Atlasnbviewer
third_party如何使用函数自动化任务(S3 存储桶示例)How to automate S3 storage with functionsnbviewer
third_party在Kangas中可视化嵌入Visualizing embeddings in Kangasnbviewer
third_party使用LlamaIndex进行财务文档分析financial document analysis with llamaindexnbviewer
dalle如何使用DALL·E APIImage generations edits and variations with DALL-Enbviewer
dalle如何使用DALL·E和Segment Anything创建动态遮罩How to create dynamic masks with DALL-E and Segment Anythingnbviewer
evaluation使用LlamaIndex评估RAGEvaluate RAG with LlamaIndexnbviewer
evaluation如何评估摘要任务How to eval abstractive summarizationnbviewer
evaluation开始使用OpenAI EvalsGetting Started with OpenAI Evalsnbviewer
chatgpt使用 Azure Functions 结合 OAuth 和 Microsoft Graph API 从 ChatGPT 搜索 O365 / SharePointUsing Azure Functions and Microsoft Graph to Query SharePoint-
chatgptGPT 动作库:BigQuerygpt action bigquerynbviewer