Multimodal AI models like OpenAI’s CLIP have transformed how developers build systems that understand both images and text. But there’s…
XLNet: Bidirectional Language Understanding Without Masked Input Limitations 6180
XLNet is a breakthrough in language modeling that effectively bridges the gap between autoregressive (AR) and autoencoding (AE) pretraining paradigms.…
Qwen-VL: Open-Source Vision-Language AI for Text Reading, Object Grounding, and Multimodal Reasoning 6422
In the rapidly evolving landscape of multimodal artificial intelligence, developers and technical decision-makers need models that go beyond basic image…
NeMo: Build Production-Grade Speech, LLM, and Multimodal AI Faster with NVIDIA’s Optimized Framework 16305
NVIDIA NeMo is a cloud-native, open-source framework designed for developers, research engineers, and technical decision-makers who need to build, customize,…
MetaCLIP: Superior Vision-Language Models Through Transparent, High-Quality Data Curation 1692
If you’ve worked with OpenAI’s CLIP, you know its power—but also its opacity. CLIP revolutionized zero-shot vision-language understanding, yet it…
SPIN: Boost Your LLM’s Performance Without New Human Annotations—Just Use Self-Play Fine-Tuning 1206
Imagine you’ve fine-tuned a language model using a standard Supervised Fine-Tuning (SFT) dataset—like Zephyr-7B on UltraChat—but you don’t have access…
RFBNet: High-Accuracy, Real-Time Object Detection Without Heavy Backbones 1422
When building real-world computer vision systems—whether for autonomous drones, industrial inspection, or mobile apps—one of the toughest trade-offs is between…
3DDFA_V2: Real-Time, CPU-Efficient 3D Face Alignment for Video and Edge Applications 3081
If you’re building applications that require real-time 3D facial understanding—like video conferencing enhancements, augmented reality filters, biometric verification, or character…
Bunny: High-Performance Multimodal AI Without the Heavy Compute Burden 1046
Multimodal Large Language Models (MLLMs) are transforming how machines understand and reason about visual content. Yet, their adoption remains out…
Step-Video-T2V: Generate High-Quality, Long-Form Videos from Text in English and Chinese 3139
Step-Video-T2V is a state-of-the-art open-source text-to-video foundation model developed by StepFun AI. With 30 billion parameters and the ability to…