Retrieval-Augmented Generation

A developer proposes a new AI architectural concept called the 'Semi-Architected Human' model, which shifts from static retrieval to dynamic cognitive autonomy. The model advocates for dialogue-based …

A developer explains that Retrieval-Augmented Generation (RAG) fixes AI hallucinations by having the model fetch relevant documents before answering, rather than relying solely on memorized training d…

Researchers have developed Query-Adaptive Semantic Chunking (QASC), a method that integrates user queries into the document segmentation process for Retrieval-Augmented Generation systems. In tests on…

The article argues that typical AI agents are not truly autonomous because they lack memory and cannot learn from mistakes, functioning instead as stateless systems. It introduces Hermes, an open-sour…