Publication date: Aug 27, 2024
This method lets LLMs answer user queries using specialized private datasets without requiring any fine-tuning. The process was made even more accurate in early 2024 using Graph Retrieval-Augmented Generation (GRAG). However, fine-tuning is a complex process involving domain expertise, considerable time, and computational resources. To combat this issue, Retrieval Augmented Generation (RAG) was introduced in 2021.
| Concepts | Keywords |
|---|---|
| Everyday | Augmented |
| Finance | Changer |
| Hallucinate | Complete |
| Medgraphrag | Everyday |
| Private | Fine |
| Game | |
| Llms | |
| Medgraphrag | |
| Private | |
| Process | |
| Retrieval | |
| Search | |
| Specialized | |
| Transformed | |
| Tuning |
Semantics
| Type | Source | Name |
|---|---|---|
| gene | GENE | LARGE1 |
| gene | GENE | FN1 |
Original Article
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