LEARN WITH A DIRECTION
A starting point, and a next step.
Follow the prerequisites at your own pace. Planned titles are not published articles; their reading times are editorial estimates, not practice durations.
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7 topics match
AI applications & LLMs
Start with programming fundamentals, then explore model calls, output control, retrieval and evaluation.
Your first LLM application from Java
- Level
- Introductory
- Prerequisites
- Java and HTTP basics
- Planned reading time
- 15 min
Goal: make a model request and understand inputs, outputs and errors.
Prompts and structured output
- Level
- Introductory
- Prerequisites
- Complete the model-call stage
- Planned reading time
- 12 min
Goal: compare prompts for a fixed task and check output requirements.
Build a Q&A system for this blog
- Level
- Practice
- Prerequisites
- Model calls and output control
- Planned reading time
- 20 min
Goal: connect document processing, retrieval and answers with sources.
Evaluate, record failures and iterate
- Level
- Practice
- Prerequisites
- A working application prototype
- Planned reading time
- 15 min
Goal: build a fixed question set and record quality, latency, cost and limits.
Getting started with embodied AI
A separate path from concepts and reading to simulation. No robot hardware is assumed.
Understand perception, decisions and actions
- Level
- Introductory
- Prerequisites
- Basic programming experience
- Planned reading time
- 12 min
Goal: map tasks, observations and actions and define learning questions.
Read a paper with a question in mind
- Level
- Introductory
- Prerequisites
- Understand the basic concepts
- Planned reading time
- 18 min
Goal: record the task, method, experimental conditions and limitations.
Your first simulation experiment
- Level
- Practice
- Prerequisites
- Basic concepts and Python
- Planned reading time
- 25 min
Goal: set up an environment, run a small task and record the actual result.