Learning path for developers who want to build with LLMs
From your first API call to retrieval, tool use, evaluation and deployment: an ordered path for software developers moving into AI engineering.
AI Desk3 min read
APIs & SDKsGuide
Your first LLM API call: a step-by-step guide in Python
Set up an API key safely, send your first request to a language model in Python, understand messages, tokens and parameters, and handle errors and costs.
AI Desk3 min read
APIs & SDKsGuide
Structured outputs and function calling: getting reliable data from LLMs
How to make language models return valid JSON that matches a schema, how function calling works, and how to validate outputs so your application never breaks.
AI Desk3 min read
How LLM inference serving works: batching, KV cache and vLLM
What happens when a server answers thousands of LLM requests: prefill and decode, the KV cache, continuous batching, PagedAttention and the metrics that matter.
AI Desk3 min read