Large Language Models (LLMs) demonstrate significant capabilities but face challenges such as hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes. Retrieval-Augmented Generation (RAG) has emerged as a promising solution by incorporating knowledge from external databases. This enhances the accuracy and credibility of the models, particularly for knowledge-intensive tasks, and allows for continuous knowledge updates and integration of domain-specific information. RAG synergistically merges LLMs’ intrinsic knowledge with the vast, dynamic repositories of external databases. This comprehensive review paper offers a detailed examination of the progression of RAG paradigms, encompassing the Naive RAG, the Advanced RAG, and the Modular RAG. It meticulously scrutinizes the tripartite foundation of RAG frameworks, which includes the retrieval , the generation and the augmentation techniques. The paper highlights the state-of-the-art technologies embedded in each of these critical components, providing a profound understanding of the advancements in RAG systems. Furthermore, this paper introduces the metrics and benchmarks for assessing RAG models, along with the most up-to-date evaluation framework. In conclusion, the paper delineates prospective avenues for research, including the identification of challenges, the expansion of multi-modalities, and the progression of the RAG infrastructure and its ecosystem. — Read More
Original Paper
Daily Archives: February 21, 2024
Sora, Groq, and Virtual Reality
Matthew Ball wrote a fun essay earlier this month entitled On Spatial Computing, Metaverse, the Terms Left Behind and Ideas Renewed, tracing the various terms that have been used to describe, well, that’s what the essay is about: virtual reality, augmented reality, mixed reality, Metaverse, are words that have been floating around for decades now, both in science fiction and in products, to describe what Apple is calling spatial computing.
Personally, I agree with Ball that “Metaverse” is the best of the lot, particularly given Ball’s succinct description of the concept in his conclusion:
I liked the term Metaverse because it worked like the Internet, but for 3D. It wasn’t about a device or even computing at large, just as the Internet was not about PC nor the client-server model. The Metaverse is a vast and interconnected network of real-time 3D experiences. For passthrough or optical MR to scale, a “3D Internet” is required – which means overhauls to networking infrastructure and protocols, advances in computing infrastructure, and more. This is, perhaps the one final challenge with the term – it describes more of an end state than a transition. — Read More
Rick's Cafe AI 