GPT-5 Leak: Multimodal Gobi to be Released in Early 2024

China's First Multimodal AI Programmer Officially Launches: Wenxin Quick Code Coding Intelligent Agent Zulu

Baidu's Create AI Developer Conference was grandly held in Beijing. At this highly anticipated technology event, Baidu officially released the Wenxin Quick Code 3.5 version and China's first multimodal AI programmer – the Wenxin Quick Code Comate Zulu intelligent agent, marking a new stage in the development of AI programming tools.

Zhipu AI and Shengshu Technology Announce Strategic Partnership to Focus on Large Model Joint Innovation

On April 27, Zhipu AI (Z.ai) and Shengshu Technology (shengshu.com), two leading artificial intelligence companies under Tsinghua University, announced a major strategic partnership. This collaboration aims to leverage both companies' technological expertise in large language models and multi-modal generative models to jointly advance the technological innovation and industrial application of domestic large models.

AccuSense Launches Next-Generation 4nm AI Cockpit Chip X10, Enhancing Intelligent Driving Experience

Moonshot AI Unveils Kimi-Audio: A New Benchmark for Open-Source Audio Foundation Models

Moonshot AI recently announced the launch of Kimi-Audio, a new open-source audio foundation model aimed at advancing the field of audio understanding, generation, and interaction. This release has garnered significant attention from the global AI community and is considered a major milestone in the development of multimodal AI. This report provides a comprehensive overview of Kimi-Audio's core features, performance, and industry impact. Breakthrough Features: Versatile Audio Processing Capabilities Kimi-Audio-7B-Instruct based on Qwen

GPT-4's Image Generation Capabilities Now Integrated into Custom GPTs

Meta Releases WebSSL Models: A New Exploration in Language-Free Visual Learning

In the field of artificial intelligence, Meta recently introduced the WebSSL family of models. These models, ranging in size from 300 million to 7 billion parameters, are trained on purely image data and aim to explore the vast potential of language-free visual self-supervised learning (SSL). This new research opens up new possibilities for future multimodal tasks and offers a fresh perspective on understanding how visual representations are learned. Previously, OpenAI's CLIP model was known for its performance in multimodal tasks such as visual question answering (VQA) and document understanding.

Jieyue Xingchen and Yuanli Lingji Announce Strategic Partnership

Jieyue Xingchen and Yuanli Lingji have signed a strategic cooperation agreement in Beijing. Both parties will leverage their respective technological advantages to carry out in-depth cooperation in multimodal large model technology, intelligent terminal Agents, and embodied AI scenarios. The goal of this cooperation is to achieve "reasoning in the physical world", jointly developing an intelligent robot named "RoboAgent", and promoting the practical application of Artificial General Intelligence (AGI). At the signing ceremony, Dr. Jiang Daxin, founder and CEO of Jieyue Xingchen, and the co-founders of Yuanli Lingji...

Kunlun Wanwei Open-Sources Skywork-R1V 2.0 Version with Enhanced Visual and Text Reasoning Capabilities

On April 24th, Kunlun Wanwei announced the official open-sourcing of its multimodal reasoning model, Skywork-R1V2.0 (hereinafter referred to as R1V2.0). This upgraded version demonstrates significant improvements in both visual and text reasoning capabilities, particularly excelling in deep reasoning for challenging science problems in the College Entrance Examination and general task scenarios. It is considered the currently most balanced open-source multimodal model, equally adept at visual and text reasoning.

NVIDIA Unveils Multimodal LLM Describe Anything: Generating Detailed Descriptions of Specific Regions

The NVIDIA AI team has released a revolutionary multimodal large language model—Describe Anything 3B (DAM-3B)—designed for detailed, region-specific descriptions of images and videos. This model, with its innovative technology and superior performance, has generated significant discussion in the multimodal learning field, marking another milestone in AI development. Below, AIBase outlines the model's core highlights and industry impact. A breakthrough in region-specific descriptions, DAM-3B stands out for its unique ability to...

ByteDance Launches Vidi, a Multimodal Model Leading the Trend in Ultra-Long Video Understanding and Editing