Multi-step prompt sequences for complex AI workflows.
99 tools found
Cluster OpenAI embeddings with k-means, visualize them in 2D, and auto-name clusters with GPT-4.
OpenAI cookbook notebook clustering unlabeled transactions via embeddings and K-Means, then using GPT-3 to label the clusters.
OpenAI cookbook notebook that trains a matrix to customize embeddings to a task, cutting binary classification error by up to 50%.
Prepare a Wikipedia article dataset for semantic search: collect, chunk, embed, and store as CSV.
Generate and save OpenAI embeddings for a large dataset, using 1,000 Amazon fine-food reviews as the example.
Jupyter notebook demonstrating how to embed text using OpenAI's text-embedding-3-small model with rate-limit management via exponential backoff.
OpenAI Agents SDK example orchestrating Portfolio Manager, Macro, Fundamental, and Quantitative agents in parallel to produce an investment research memo.
Fan out specialized OpenAI Agents SDK agents in parallel, then fan their outputs into one meta-agent answer.
A notebook showing how to generate embeddings through the Azure OpenAI service, from resource setup to a sample request.
A notebook showing Azure OpenAI function calling end to end: API key or Active Directory auth, function definition, and response handling.
A notebook showing how to transcribe audio to text using the Azure OpenAI Whisper model.
Walks through OpenAI's Batch API for lower-cost async jobs, with movie-categorization and image-captioning examples.
