LLM engineering goes beyond bigger context windows. Learn how context management, reasoning, tools, and agentic systems make AI workflows more reliable.
Generative AI 🦾 |
In this section, we bring together every article on this site that deals with generative AI. Unlike the other sections, this isn’t a category of its own but a cross-cutting view: the articles below also live under The Fundamentals, Technologies & Tools, Real-World Practices or Trends & Insights.
They fall roughly along three lines:
- 🔬 Some look inside the model itself, at what transformers, pretraining and fine-tuning actually do.
- 🔧 Others deal with the engineering layer around it, which is where most of the real work happens: context, RAG, tool calling, agents and evaluation.
- 🏭 And the rest deal with what changes when these systems meet real users, from serving and cost to governance, compliance, and regulation (US law, the EU AI Act, etc.).
