tag: llm
articles: 3 · beats: 1
latest: September 1, 2026
---
Llm
3 Crashtech articles on Llm, filed under How AI Actually Works, published in September 2026. Every piece is full-text HTML with sources, structured data and an authored FAQ.
All 3 sit in the How AI Actually Works beat. How AI Actually Works
RAG vs Agentic RAG: Why Retrieval Needed to Become a Decision
Traditional RAG retrieves once and answers. Agentic RAG lets the system decide what to retrieve, from where, and whether the first answer was even good enough.
The Generative AI Tech Stack, Layer by Layer
From GPU infrastructure to model safety, a working map of the nine layers that turn a foundation model into a shippable GenAI product.
Why Your ML Team's Real Bottleneck Is Annotation, Not Model Choice
Isolated annotation tooling doesn't scale. A shared platform with tiered human review plus LLM-assisted labeling does — here's the architecture.
Questions we answer about Llm
- What is RAG, in one sentence?
- What specifically does Agentic RAG add on top of traditional RAG?
- Why isn't traditional RAG enough for complex questions?
- Does Agentic RAG always produce better answers than traditional RAG?
- What tools does an Agentic RAG system typically choose between?
- Do you need all nine layers of the GenAI stack to ship a product?
- What's the actual difference between the frameworks layer and the orchestration layer?
- Why does a GenAI stack need synthetic data as its own layer?
- What's the difference between model supervision and model safety in this stack?
- Why do vector databases specifically belong in the GenAI stack, and not just any database?
Covered alongside
Frequently asked questions
What does Crashtech publish about Llm?
3 articles tagged Llm, the most recent published September 1, 2026. All 3 sit in the How AI Actually Works beat. Each carries numbered sources, an authored FAQ and full structured data.
What questions about Llm does Crashtech answer directly?
10 questions have a dedicated answer page under this tag, including “What is RAG, in one sentence?”. Each answer is authored prose from the article it belongs to, not a generated summary.
Can AI assistants read Crashtech's Llm coverage?
Yes. Crashtech serves full static HTML to every crawler, allows all major AI user agents in robots.txt, and publishes an llms.txt manifest plus a full-text corpus, so assistants can retrieve and cite these articles directly.