Examples and guides for using the OpenAI API.
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Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Step by step guide to learning Prompt Engineering in 2026.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Sukino-Findings is a text guide, note, or pasted reference with organized instructions or resource links.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
An in-depth guide on how to use the AdaMPI AI model for creating 3D photos from 2D images.
Zoo is a web guide or update reference covering changes, screenshots, notices, or community notes.
One API key, 63 AI agent tools: web search, scraping, AI generation, OCR, crypto data. LangChain + MCP ready. Pay per call with credits or x402/USDC.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Creates or edits images with generative models and visual controls.
Audio generation using diffusion models, in PyTorch.
DataTalks.Club. A weekly newsletter about data-related things..
Automatic architecture search and hyperparameter optimization for PyTorch.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
Career assistant that combines intelligent job searching, resume matching, and cover letter generation using an agent-based architecture.
AI tools for documentation, collaboration, and design—built for architects and engineers.
Architecture of voice AI, from speech recognition to emotional intelligence, and learn how to build, scale, and evaluate them.