Practice Speaking Every Day Practice with me every day for 5 minutes Eliminate Fake English Kill Fake English Warm Reminder: Readers with zero foundation, please click the audio in the article to listen to the pronunciation~ Check previous slang notes Please click on this account’s avatar to view the history Search and follow the official … Read more
Datawhale Insights Author: Eternity, Datawhale Member Take Home Message: Janus is a simple, unified, and scalable multimodal understanding and generation model that decouples visual encoding from multimodal understanding and generation, alleviating potential conflicts between the two tasks. In the future, it can be expanded to incorporate more input modalities. Janus-Pro builds on this foundation, optimizing … Read more
Recently, Retrieval-Augmented Generation (RAG) has garnered widespread attention in the AI field, becoming a focal point of discussion among many researchers and developers. As a technology that combines retrieval with generation, RAG demonstrates the potential to achieve outstanding results in various tasks such as question answering, dialogue generation, and text summarization. Its emergence provides a … Read more
Click the “Expert Knowledge” above to follow for more AI knowledge! [Introduction] Thematic aggregation knowledge is one of the core functions of Expert Knowledge, providing users with systematic knowledge learning services in the field of AI. Thematic aggregation offers users a collection of the essence (Awesome) knowledge materials about the theme from the entire network, … Read more
Introduction GAN, short for Generative Adversarial Networks, is a type of generative model. Personally, I like to call it the “involution” network. Why do I say this? Let’s start with a story!!! 01 The Story of Cops and Robbers On a distant planet in the universe, there is a city that is emerging, with various … Read more
Reply ‘data’ to receive a collection of algorithm interview questions (large models, deep learning, machine learning). 1. What is Retrieval-Augmented Generation (RAG)? RAG is a hybrid approach that combines retrieval systems and generative language models. It consists of two steps: Retrieval Component: Searches for relevant information in large external corpora or datasets based on the … Read more