llm-course
reference corpus · status live · domain AI (AI, prompts and agents) · lane A · refresh pinned · tags GLOBAL · LLM · FINE-TUNING · RAG · ROADMAP
What an agent uses it for
an agent building with LLMs queries this for the fine-tune, quantize, RAG and deployment path and the concept behind each step
curl -fsSLO https://raw.githubusercontent.com/xerj-org/xerj/corpus-hub/tools/xerj-code/hub/llm-course.jsonxerj corpus add --from ./llm-course.jsonxerj corpus index llm-course then xerj code llm-course "your question"Needs the xerj CLI and a local node running; the copy prompt covers both, checks each step, and shows how to stop only the node you started. No shell: the MCP tool xerj_code_search with corpus: "llm-course", once the corpus is indexed on the node.
Sources and pins
| source | pin | licence | size | review note |
|---|---|---|---|---|
| llm-course | 7abd96e8284b | Apache-2.0 | 847.5 KB / 7 files | Apache-2.0 verified (LICENSE). |
847.5 KB across 7 files. Added 2026-10-13.
Rights
Apache-2.0. Redistribution permitted with attribution per the licence review. The review block records a human opening each licence file at the pin. Detector output is a hint, never the verdict.
Retrieval spot-check (G7)
Not yet spot-checked. Queries are pre-registered in the registry before grading.