MiniMax Unveils M2.1 to Bring Multilingual Programming Gains to Open AI Models

Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...

MiniMax releases M2.1 AI model for multi-language programming versatility

MiniMax M2 was released in late October this year. The company stated that M2.1 demonstrated significant improvements in ...
IEEE

CLIP-Based Natural Language-Guided Low-Redundancy Fusion of Infrared and Visible Images

Abstract: The objective of infrared and visible image fusion is to produce a fused image that encompasses significant objects and intricate textures. However, existing methods frequently prioritize ...
IEEE

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language

Abstract: Contrastive Language-Image Pre-training (CLIP) learns robust visual models through language supervision, making it a crucial visual encoding technique for various applications. However, CLIP ...
GitHub

Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large ...

conda create --name graphllm python==3.10.12 conda activate graphllm pip install torch pip install openai pip install torch_geometric pip install pyg_lib torch ...