Optimizing RAG systems with fine-tuning techniques | SuperAnnotate
Enhancing RAG Systems: Discover fine-tuning strategies for optimizing retrieval augmented generation in large language models.| SuperAnnotate
Authors: Lara Rachidi & Maria Zervou Introduction Welcome to our technical blog on the challenges encountered when building and deploying Retrieval-Augmented Generation (RAG) applications. RAG is a GenAI technique used to incorporate relevant data as context to a large language model (LLM) without t...| community.databricks.com
Enhancing RAG Systems: Discover fine-tuning strategies for optimizing retrieval augmented generation in large language models.| SuperAnnotate
Retrieval augmented generation or RAG is an architectural approach that pulls your data as context for large language models (LLMs) to improve relevancy.| Databricks
