ashe 🔥@ashebytes

2 years ago

improving RAG with graph-based reranking google research paper on G-RAG, a reranker based on graph neural networks (GNNs) between the retriever and reader in RAG https://t.co/2c9rg4T94b

The Artificially Intelligent Enterprise@theaienterprise

2 years ago

What if I told you there's a way to make large language models (LLMs) like GPT-4 more accurate and reliable? Here's why Retrieval Augmented Generation (RAG) is the key to reducing LLM hallucinations and ensuring your AI-powered solutions are trustworthy: https://t.co/JBpwZbqPXt

Vinod Valloppillil@vinodv

2 years ago

"RAG" as we currently know it stems from a discovered capability of GPT's few-shot, in context learning Next generation RAG systems will be much more intentionally designed from the start. https://t.co/HlwXg6EZDJ