LLM API's Deep Dive

Join us for a hands-on deep dive into how to work with LLM APIs—the essential building blocks for integrating language models into your own applications.

Whether you’re using a cloud-based service like OpenAI or a local model via Ollama, understanding how APIs work will give you the power to move from experimenting to building.

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### Agenda

1. What Is an LLM API?

• Understand the anatomy of a typical API call to a language model
• Explore key components: endpoints, headers, payloads, and responses
• Learn the differences between chat and completion-style APIs

2. Calling a Proprietary API (OpenAI, Anthropic)

• Conceptually map out how to call a cloud-hosted LLM
• Review basic authentication and rate limits
• Consider privacy, cost, and latency trade-offs

3. Calling a Local LLM (Ollama)

• See how local models expose similar APIs
• Explore advantages of running models on your own machine

4. Comparison & Use Cases

• When should you use cloud vs. local APIs?
• Examples of small projects that combine both