TL;DR Perplexity.ai is an AI-based search engine that uses natural language processing technology to help users quickly obtain accurate and concise answers. Unlike traditional search engines, Perplexity.ai can understand complex questions and provide comprehensive, detailed responses. Users can register for free and use it to get real-time intelligent answers by simply inputting questions. It is … Read more
Source: Submission Author: Aksy Editor: Senior Sister Video Link: https://ai.deepshare.net/detail/p_5ee62f90022ee_zFpnlHXA/6 5. Comparison of Models (Model Architectures Section of the Paper) Before the introduction of word2vec, NNLM and RNNLM trained word vectors by training language models using statistical methods. This section mainly compares the following three models: Feedforward Neural Net Language Model Recurrent Neural Net Language … Read more
Source: Submission Author: Aksy Editor: Senior Sister Video Link: https://ai.deepshare.net/detail/p_5ee62f90022ee_zFpnlHXA/6 Article Title: Efficient Estimation of Word Representations in Vector Space Author: Tomas Mikolov (First Author) Unit: Google Conference and Time: ICLR 2013 1. Research Background 1.1 Prior Knowledge Mathematics Knowledge: Calculus in Advanced Mathematics Matrix Operations in Linear Algebra Conditional Probability in Probability Theory Machine … Read more
Microsoft recently released its latest language model Phi-4, which has been open-sourced on Hugging Face, attracting widespread attention. Although Phi-4 is smaller in scale, it is powerful and outperforms larger competitors in reasoning tasks. Overview of the Phi-4 Model Phi-4 is a small language model (SLM) developed by Microsoft Research with 14 billion parameters, focusing … 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
1. RAG (Retrieval Augmented Generation) RAG technology is a method that combines retrieval and generation. It typically relies on two core components: a large language model (such as GPT-3) and a retrieval system (such as a vector database). RAG first uses the retrieval system to extract relevant information from a vast amount of data, then … Read more
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