Applied AI

Artificial intelligence becomes most useful when applied. These lessons show how she is connected to tools, data, and workflows.

• Function calling – Connecting AI to external functions and APIs.
• Structured outputs – Enforcing predictable, machine-readable AI responses.
• Chaining AI models – Combining multiple models into processing pipelines.
• Vector databases – Storing and searching embeddings at scale.
• Files API – Managing data and assets for AI workflows.
• Batch API – Running large-scale offline AI inference jobs.
• Fine-tuning with OpenAI – Adapting models to domain-specific tasks.
• Synthetic data generation – Creating artificial data for training models.