Retrieval Augmented Generation (RAG) – Externe Wissensbasen für Large Language Models am Beispiel deutscher Grammatik (Christian Lang)
Slides
Lang, C. (2024). Retrieval Augmented Generation (RAG) – Externe Wissensbasen für Large Language Models am Beispiel deutscher Grammatik. AGKI-AG. https://agki-dh.github.io/pages/page-5.html. CC-BY
Materialien
- Instructor Embeddings Papier
- Blogeintrag Tanja Tu zu Chat-GPT
- Llama 2 Papier (Touvron et al. 2023)
- Retrieval Augmented Generation — Intuitively and Exhaustively Explained
- RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?
- RAG Technology: A Comprehensive Exploration for Maximizing Large Language Model Potential