LeCun Exposes Major Defects in Multimodal LLMs, Proposes Interleaved-MoF to Significantly Enhance Visual Understanding

Novel Multimodal Framework ProteinDT Ushers in New Era of AI-Driven Protein Design

Artificial intelligence is rapidly transforming protein discovery and design in biotechnology. Recently, a collaborative team from UC Berkeley and Caltech developed ProteinDT, a novel multimodal framework leveraging text descriptions to aid in protein design. This innovative approach integrates protein sequence and structural information with a wealth of biological knowledge represented in text, opening a new chapter in protein design.

Baidu Releases PaddlePaddle Framework 3.0 to Empower Intelligent Development in the Age of Large Models

PaddlePaddle 3.0 Officially Released: Supports Large Models Like Wenxin 4.5, Reduces Cross-Chip Adaptation Costs by 80%

Baidu's deep learning platform, PaddlePaddle, recently announced the official release of its new generation framework, PaddlePaddle 3.0. This release introduces five core technological innovations, including "dynamic and static unified automatic parallelism," aiming to effectively reduce the development and training costs of large models and support the infrastructure construction of the large model era. As the core infrastructure supporting large model training and inference tasks, PaddlePaddle 3.0 demonstrates excellent performance optimization. The framework already supports multiple mainstream large models, including Wenxin 4.5 and Wenxin X1, and through optimization...

Lenovo CTO: Betting on Multimodal AI Collaboration to Build a Model Factory and Accelerate Intelligent Agent Deployment

ChatGPT's New Image Generation Feature Goes Viral, OpenAI Limits Access Due to Overwhelmed Capacity

OpenAI's recently launched image generation feature for ChatGPT has garnered significant attention and usage. However, this popularity has presented challenges. OpenAI founder Sam Altman revealed that the surge in demand has nearly overwhelmed the company's GPU capacity, stating that the GPUs are "smoking." This has led to rate limits being implemented on the image generation feature.

AI Daily: Taobao Launches AI Fight Against Fake Images; OpenAI Announces Support for MCP Protocol; Alibaba Open-Sources Multimodal Model Qwen2.5-Omni

Welcome to the "AI Daily" column! Your daily guide to exploring the world of artificial intelligence. We present the hottest AI news, focusing on developers and helping you understand technology trends and innovative AI applications. Discover new AI products here: https://top.aibase.com/ 1、 Alibaba's Tongyi Qianwen open-sources the new generation end-to-end multimodal model Qwen2.5-Omni. The Alibaba Cloud Tongyi Qianwen team has launched Qwen2.5-Omni, a new generation multimodal...

Alibaba Unveils its First Multimodal Large Model, Qwen2.5-Omni, Challenging Global Tech Giants

On March 27th, Alibaba launched its first multimodal large model, Qwen2.5-Omni-7B. This model boasts powerful capabilities, handling various input modalities such as text, images, audio, and video, and generating text and natural speech outputs in real-time. This innovative technological breakthrough marks another significant advancement for Alibaba in the field of artificial intelligence. In the authoritative OmniBench multimodal fusion task benchmark, Qwen2.5-Omni achieved...

Alibaba Releases Qwen2.5-Omni, a New Generation of End-to-End Multimodal Model

The Alibaba Cloud Tongyi Qianwen Qwen team announced the launch of Qwen2.5-Omni, a new generation of end-to-end multimodal flagship model in the Qwen family. Designed for comprehensive multimodal understanding, this new model seamlessly handles various input formats including text, images, audio, and video, and generates text and natural speech synthesis outputs simultaneously via real-time streaming response.

Perplexity Reimagines AI Search: Multimodal Answers Revolutionize the Industry

Alibaba Unveils Qwen2.5-VL-32B: A New Multimodal Model Combining Vision, Language, and Mathematical Reasoning

Alibaba is making waves in the AI field with the recent open-source release of its latest multimodal model, Qwen2.5-VL-32B-Instruct. This model is part of the Qwen2.5 series, which also includes 3B, 7B, and 72B versions. The 32B version prioritizes convenient local execution while maintaining performance. Enhanced through reinforcement learning, Qwen2.5-VL-32B excels in several areas. Notably, its responses are more aligned with human expectations.