Batch processing with the Batch API

Summarizing Long Documents

Synthetic data generation (Part 1)

CLIP embeddings to improve multimodal RAG with GPT-4 Vision

Using GPT4 Vision with Function Calling

Getting Started with OpenAI Evals

How to use the moderation API

How to parse PDF docs for RAG

Using GPT4 with Vision to tag and caption images

How to combine GPT4 with Vision with RAG to create a clothing matchmaker app

Using logprobs

How to implement LLM guardrails

Creating slides with the Assistants API and DALL·E 3

RAG with a Graph database

Supabase Vector Database

Semantic search using Supabase Vector

MongoDB Atlas Vector Search

Semantic search using MongoDB Atlas Vector Search and OpenAI

Assistants API Overview (Python SDK)

Fine tuning for function calling

Processing and narrating a video with GPT's visual capabilities and the TTS API

What's new with DALL·E 3?

How to make your completions outputs consistent with the new seed parameter

Evaluate RAG with LlamaIndex

Named Entity Recognition to Enrich Text

Function calling with an OpenAPI specification

How to build an agent with the OpenAI Node.js SDK

Fine-tuning OpenAI models with Weights & Biases

OpenAI API Monitoring with Weights & Biases Weave

Question answering with LangChain, Deep Lake, & OpenAI

Neon as a vector database

Vector similarity search using Neon Postgres

How to automate AWS tasks with function calling

Azure Chat Completion models with your own data (preview)

Azure AI Search as a vector database for OpenAI embeddings

Using Tair as a vector database for OpenAI embeddings

Question answering with Langchain, Tair and OpenAI

Fine-Tuning for retrieval augmented generation (RAG) with Qdrant

What makes documentation good

Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB

Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB

Cassandra / Astra DB

Elasticsearch

Retrieval augmented generation using Elasticsearch and OpenAI

Semantic search using Elasticsearch and OpenAI

Data preparation and analysis for chat model fine-tuning

How to fine-tune chat models

How to evaluate a summarization task

Function calling for nearby places: Leveraging the Google Places API and customer profiles

Addressing transcription misspellings: prompt vs post-processing

Enhancing Whisper transcriptions: pre- & post-processing techniques

Azure functions example

Visualizing the embeddings in Kangas

Using PolarDB-PG as a vector database for OpenAI embeddings

Search reranking with cross-encoders

Vector databases

Using Chroma for embeddings search

Using MyScale for embeddings search

Using Pinecone for embeddings search

Using Qdrant for embeddings search

Using Redis for embeddings search

Using Typesense for embeddings search

Using Weaviate for embeddings search

Whisper prompting guide

Financial document analysis with LlamaIndex

Question answering using a search API and re-ranking

How to use functions with a knowledge base

How to call functions with chat models

Semantic search with SingleStoreDB

SingleStoreDB

Using Weaviate with generative OpenAI module for generative search

Unit test writing using a multi-step prompt with legacy Completions

How to create dynamic masks with DALL·E and Segment Anything

Using Hologres as a vector database for OpenAI embeddings

Running hybrid VSS queries with Redis and OpenAI

Redis as a context store with Chat Completions

Kusto as a vector database for embeddings

Kusto as a vector database

Redis vectors as JSON with OpenAI

Question answering with Langchain, AnalyticDB and OpenAI

How to build a tool-using agent with LangChain

Using MyScale as a vector database for OpenAI embeddings

Embedding Wikipedia articles for search

Typesense

Using AnalyticDB as a vector database for OpenAI embeddings

Robust question answering with Chroma and OpenAI

Visualizing embeddings in Atlas

Azure Chat Completions example (preview)

Filtered search with Milvus and OpenAI

Getting started with Milvus and OpenAI

Filtered Search with Zilliz and OpenAI

Getting Started with Zilliz and OpenAI

Retrieval augmentation for GPT-4 using Pinecone

Pinecone vector database

Semantic search with Pinecone and OpenAI

How to format inputs to ChatGPT models

Long document content extraction

Using Qdrant as a vector database for OpenAI embeddings

Question answering with Langchain, Qdrant and OpenAI

Redis

Using Redis as a vector database with OpenAI

Weaviate <> OpenAI

Using Weaviate with OpenAI vectorize module for embeddings search

Using Weaviate with OpenAI vectorize module for hybrid search

Question Answering in Weaviate with OpenAI Q&A module

Retrieval augmented generative question answering with Pinecone

Visualizing embeddings in Weights and Biases

How to work with large language models

Use cases for embeddings

Related resources from around the web

Embedding texts that are longer than the model's maximum context length

How to count tokens with Tiktoken

Unit test writing using a multi-step prompt

How to use the DALL·E API

Clustering for transaction classification

Multiclass Classification for Transactions

Techniques to improve reliability

How to handle rate limits

How to stream completions

Azure embeddings example

Classification using embeddings

Question answering using embeddings-based search

Clustering

Code search using embeddings

Customizing embeddings

Fine tuning classification example

Using embeddings

Get embeddings from dataset

Recommendation using embeddings and nearest neighbor search

Regression using the embeddings

Semantic text search using embeddings

User and product embeddings

Visualizing the embeddings in 2D

Visualizing embeddings in 3D

Zero-shot classification with embeddings

Translate a book writen in LaTeX from Slovenian into English

Fine-Tuned Q&A - collect data

Fine-Tuned Q&A - create Q&A

Fine-Tuned Q&A - train