Reprinted from WeChat Official Account | Blue’s Little Firefly In this article, I would like to accurately introduce the application areas of Knowledge Graphs (KG) in the RAG pipeline. We will explore the different types of questions that arise in the RAG pipeline and how to address these issues by applying knowledge graphs at various … Read more
Original: https://zhuanlan.zhihu.com/p/682253496 Compiled by: Qingke AI Leave a message in the backend ‘ Exchange ‘, Join the NewBee discussion group 1. Background Introduction RAG (Retrieval Augmented Generation) method refers to a combination of retrieval-based models and generative models to improve the quality and relevance of generated text. This method was proposed by Meta in the … Read more
This article primarily explains the paper “RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation”[1]. Currently, there are some relevant introductions available online, but most only discuss the ideas and mainly rely on GPT translations, which can be quite awkward and do not provide a detailed understanding of all principles. Therefore, a detailed description … Read more
Recently, while writing articles, I wanted to fill in some gaps left by last year’s RAG (Retrieval-Augmented Generation) and hope to share some tips to help everyone with RAG. As the old saying goes: Building a prototype of a large model is easy, but turning it into a product that can actually be put into … Read more
“ Happy New Year! This article should be the last piece in the collection of algorithm insights regarding RAG. Throughout the past year, most of my work has focused on some aspects of large model applications, and I would like to briefly discuss two points that left a significant impression on me regarding RAG system … Read more
The Dawn of AGI: How AI Will Reshape the Future Imagine a future where, upon waking up in the morning, your AI assistant has already planned the best travel route based on your schedule and real-time traffic conditions; at work, AI collaboration tools help you efficiently handle complex tasks, allowing you to focus on more … Read more
Regardless of the chosen path, continuous learning, practice, and interdisciplinary collaboration are key. The development of AGI requires knowledge and skills from multiple areas, maintaining curiosity and an open mindset, and actively participating in technology communities and industry events. Engaging in and learning about AGI (Artificial General Intelligence) is a long-term and complex process that … Read more
As tech giants erect parameter monuments in the desert of computing power, a squad of engineers adorned with dynamic routing badges is cutting open the metal abdomen of large models with algorithm welding guns. The latest leaked battle map from the DeepSeek laboratory shows that their open-source model is rewriting the underlying game theory of … Read more
Today, I’m excited to introduce you to a super cool Python library—agi-pack. This library is powerful and can help us easily tackle many complex tasks, like a “superhero” in the Python world, making programming simple and fun. Next, let’s dive into the world of agi-pack and embark on a wonderful programming journey! 1. Getting to … Read more
Background:Artificial General Intelligence (AGI) refers to a system capable of human-like reasoning, learning, and decision-making across various tasks that humans can handle, and has become a focal point of scientific research. While computer science and engineering are at the forefront of AGI development, neuroscience also plays a crucial role in its foundational construction. By studying … Read more