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AI
Can Google’s Gemini Rival OpenAI’s GPT-4V in Visual…
The development of Multi-modal Large Language Models (MLLMs) represents a groundbreaking shift in the fast-paced…
This Paper Proposes Osprey: A Mask-Text Instruction Tuning Approach to…
Multimodal Large Language Models (MLLMs) are pivotal in integrating visual and linguistic elements. These models,…
Can Machine Learning Predict Chaos? This Paper from UT Austin Performs a…
The science of predicting chaotic systems lies at the intriguing intersection of physics and computer science. This…
This AI Paper Unveils the Cached Transformer: A Transformer Model with GRC…
Transformer models are crucial in machine learning for language and vision processing tasks. Transformers, renowned…
This AI Paper Introduces InstructVideo: A Novel AI Approach to Enhance…
Diffusion models have become the prevailing approach for generating videos. Yet, their dependence on large-scale web…
Meet LMDrive: A Unique AI Framework For Language-Guided, End-To-End,…
Large Language Models (LLMs) have improved the field of autonomous driving in terms of interpretability, reasoning…
This Paper Introduces PtychoPINN: An Unsupervised Physics-Informed Deep…
Coherent diffractive imaging (CDI) is a promising technique that leverages diffraction from a beam of light or…
Meet VectorLink: A Vector Database that is Part of TerminusCMS, Providing…
The complexity of interconnected data is often difficult for developers. There are challenges like making sense of…
UC Berkeley Researchers Introduce StreamDiffusion: A Real-Time…
The use of diffusion models for interactive image generation is a burgeoning area of research. These models are…
Tencent Researchers Introduce AppAgent: A Novel LLM-based Multimodal Agent…
Artificial intelligence (AI) is witnessing a transformative phase, particularly in developing intelligent agents.…