Since OpenAI officially released ChatGPT in November 2022, the AI technology ecosystem has experienced rapid advancement. The public has transitioned from a state of confusion to a thrilling and exciting experience, and now to feelings of unease due to the cost-cutting and efficiency improvements brought by their respective companies. The world is changing so quickly, … Read more
Recently, the world-renowned management consulting firm Boston Consulting Group (BCG) released a highly insightful report predicting that AI Agents will spark a revolution across various industries, prompting profound reflections on future work models, business models, and even the shape of human society. As Yuval Noah Harari, author of “Sapiens: A Brief History of Humankind,” stated: … Read more
Editor’s Overview This reading list published by Latent Space selects 50 papers in the field of AI engineering, covering ten core modules, providing valuable resources for AI engineers and other professionals to enhance their skills. The cutting-edge large language model (LLM) section covers the latest developments of major series models; the benchmarking and evaluation module … Read more
Hi, I’m GuiGui, exploring AI. If you like the content here, please follow to stay updated! Slash Little Ghost Have you ever encountered a situation where you eagerly ask AI a question, only for it to provide a completely absurd answer? For instance, if you ask, “What is Python?” and it responds, “Python is a … Read more
In recent years, artificial intelligence has made significant leaps, primarily due to large language models (LLMs). LLMs are very good at understanding and generating human-like text, leading to the creation of various new tools, such as advanced chatbots and AI writers. Although LLMs excel at generating fluent, human-like text, they sometimes struggle with factual accuracy. … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reposted … Read more
Detailed Explanation of RAG 2.0 Architecture The so-called RAG, short for Retrieval-Augmented Generation, combines retrieval and generation technologies to enhance the effectiveness of text generation tasks. Its working principle combines the advantages of retrieval models and generation models to address some challenges and issues in text generation. RAG 2.0, on the other hand, is an … Read more
Introduction Many product managers and engineers familiar with RAG often complain, “It only takes a week to produce a demo with RAG, but it takes at least six months to reach a production-level standard!” This is a realistic issue for the current industrial implementation of RAG. The RAG framework is very simple and understandable, and … Read more
Beginner’s Guide: The Easiest Claude Assistant Tutorial! Today, I want to discuss the Claude AI assistant with everyone, helping you thoroughly understand what Claude really is. When it comes to knowing and effectively using Claude, I have summarized a 3+2 model, which consists of 3 foundational understandings and 2 advanced applications. This model is based … Read more
Author: Jacob, Code Intelligent Copilot & High-Performance Distributed Machine Learning SystemOriginal: https://zhuanlan.zhihu.com/p/18653363414>>Join the Qingke AI Technology Group to exchange the latest AI technologies with young researchers/developers Recommended Reading Interpretation of MiniMax-01 Technical Report Interpretation of DeepSeek-V3 Technical Report Comparison of MiniMax-01 and DeepSeek-V3 Aspect MiniMax-01 DeepSeek-V3 Model Architecture Based on linear attention mechanism, using hybrid … Read more