Vector Embeddings

Why Your RAG Isn’t Working? Main Reasons and Solutions

by
Why Your RAG Isn't Working? Main Reasons and Solutions

Source: DeepHub IMBA This article is approximately 4200 words long and is suggested to be read in 5 minutes. This article reveals the main reasons for the failure of ordinary RAGs and provides specific strategies and methods to bring your RAG closer to production stage. Countless companies are attempting to use Retrieval-Augmented Generation (RAG), but … Read more

Vector Embeddings: Solving AutoGPT’s Hallucination Problem?

by
Vector Embeddings: Solving AutoGPT's Hallucination Problem?

Source | Eye on AIOneFlow Compilation and Translation | Jia Chuan, Yang Ting, Xu Jiayu “The hallucination problem of ‘serious nonsense’ is a common issue that large language models (LLMs) like ChatGPT urgently need to address. Although reinforcement learning from human feedback (RLHF) can adjust the model’s output for errors, it is not efficient or … Read more