Click the “blue words” above Follow us! Have you ever wondered why chatbots can understand your questions and provide accurate answers? How do they write fluent articles, translate foreign languages, and even summarize complex content? Imagine you’re sitting in front of a machine, typing a few words, and this machine acts like a magician, quickly … Read more
[Introduction] The emergence of BERT has revolutionized the model architecture paradigm in many natural language processing tasks. As a representative of pre-trained language models (PLM), BERT has refreshed leaderboards in multiple tasks, attracting significant attention from both academia and industry. Stanford University’s classic natural language processing course, CS224N, invited the first author of BERT, Google … Read more
Introduction Overview Pre-training Data Sources Pre-processing Tokenization Model Design Extrapolation Capability Model Training Experimental Results Deployment Testing Alignment Supervised Fine-tuning (SFT) RM Model Reinforcement Learning Alignment Results (Automatic and Human Evaluation) Automatic Evaluation Human Evaluation Deployment Testing Conclusion Introduction This article mainly introduces the Chinese large model Alibaba Qwen, specifically including model details interpretation and … 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 professors, and corporate 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 the advancement … Read more
Alibaba Voice Recognition Technology Overview: As a crucial component of artificial intelligence technology, voice recognition technology has become a core component influencing human-computer interaction. From voice interaction capabilities in various smart home IoT devices to applications in public services and smart government, voice recognition technology is impacting all aspects of people’s lives. This article will … Read more
Yesterday, a friend recommended a search tool to me: perplexity. This is a search engine based on large language models. After trying it out, I asked some relatively simple questions, and it felt much more accurate and faster than Google. Google can only lead me to articles and websites written by others, but this can … Read more
Click Follow us by clicking the blue text above Cover image: Chomsky actually holds a critical view of Wittgenstein’s statement. As the father of linguistics, he has always sought to explore the mystery of language structure “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm Study: Writing Deconstructed Intelligence。 After all, deep learning LLMs are not the entirety of … Read more
Machine Heart reports Machine Heart Editorial Team Do language models plan for future tokens? This paper gives you the answer. “Don’t let Yann LeCun see this.” Yann LeCun said it was too late; he has already seen it. Today, we introduce the paper that “LeCun insists on seeing,” which explores the question: Is the Transformer … Read more
Recently, in the field of Natural Language Processing (NLP), the use of pre-training methods for language models has achieved significant improvements across various NLP tasks, attracting widespread attention from various sectors. In this article, I will summarize some relevant papers I have recently read, selecting a few representative models (including ELMo [1], OpenAI GPT [2], … Read more
Start a new objective: analyze the principles of AgentGPT and summarize the results. New task: research the development and architecture of the GPT model. New task: analyze the internal processes and algorithms of AgentGPT. New task: summarize the investigation results and submit a comprehensive report on the principles behind AgentGPT. Executing “Research the development of … Read more