↑↑↑ Follow and Star “Datawhale” Daily insights & monthly study groups, don’t miss out Datawhale Insights Source: Jason Brownlee, Organized by Data Science THU This article is approximately 3300 words, and is recommended to read in 10minutes This article introduces how to use XGBoost for time series forecasting, including transforming time series into a supervised … Read more
Yunzhong from Aofeisi Quantum Bit | WeChat Official Account QbitAI It has been a full year since ChatGPT and GPT-4 ignited a new round of artificial intelligence revolution. In this year, numerous companies both domestically and internationally have flooded into the “beast arena” of large models, accelerating the iteration and leap of large model technology. … Read more
Previously, we introduced the Large Language Models (LLMs) technology principles and applications. LLMs are a type of Foundation model, and besides LLMs, Foundation models also include Large Vision Models and Large Multimodal Models. Currently popular text-to-image models like Stable Diffusion, DALL-E, text-to-video model Sora, image-text retrieval, and visual content generation all fall under the category … Read more
mPLUG Team Contribution QbitAI | WeChat Official Account New SOTA in Multimodal Document Understanding! Alibaba’s mPLUG team has released the latest open-source work mPLUG-DocOwl 1.5, proposing a series of solutions to tackle four major challenges: high-resolution image text recognition, general document structure understanding, instruction following, and external knowledge incorporation. Without further ado, let’s take a … Read more
Machine Heart Column Machine Heart Editorial Team In the past few months, with the successive releases of major works like GPT-4V, DALL-E 3, and Gemini, “the next step for AGI”—multimodal generative large models have rapidly become the focus of scholars worldwide. Imagine, AI not only chats but also has “eyes” that can understand images, and … Read more
Hong Kong University of Science and Technology & Southern University of Science and Technology & Huawei Noah’s Ark Lab | WeChat Official Account QbitAI Fine-tuning can make general large models more adaptable to specific industry applications. However, researchers have now found that: Performing “multi-task instruction fine-tuning” on multimodal large models may lead to “learning more … Read more
Multimodal fusion aims to integrate information from various modalities to achieve more accurate predictions. Significant progress has been made in multimodal fusion across a wide range of scenarios including autonomous driving and medical diagnosis. However, the reliability of multimodal fusion in low-quality data environments remains largely unexplored. This paper reviews the common challenges and recent … Read more
Machine Heart Report Machine Heart Editorial Team What is the progress of multi-modal large language models?Here are 26 of the current best multi-modal large language models. The focus in the field of AI is shifting from large language models (LLMs) to multi-modal capabilities. Thus, multi-modal large language models (MM-LLMs) that enable LLMs to have multi-modal … Read more
Better integration and exploration of industry data is expected to provide new possibilities for the development of multimodal large models in vertical fields. How can the traditional research advantages of Hong Kong connect with industrial opportunities, and how can international channels collaborate with local resources? By｜《财经》special correspondent in Hong Kong, Jiao Jian Editor｜Su Qi The … Read more
Author: Wang Yonggang, Founder/CEO of SeedV Lab, Executive Dean of AI Academy at Innovation Works The advent of ChatGPT/GPT-4 has completely transformed the research landscape in the NLP field and ignited the first spark towards AGI with its multimodal potential. Thus, the era of AI 2.0 has arrived. But where will the technological train of … Read more