Introducing Janus-Pro, an advanced model improving its predecessor Janus through optimized training, expanded datasets, and larger model architectures. With significant enhancements in multimodal understanding and text-to-image generation, Janus-Pro sets new benchmarks in performance and stability. This work aims to stimulate further advancements in multimodal AI technologies.
JanusFlow introduces an innovative framework that integrates autoregressive language models with rectified flow, streamlining multimodal understanding and image generation. This minimalist architecture enhances performance while maintaining simplicity, allowing for superior results on standard benchmarks in both fields. Key strategies focus on decoupling encoders and aligning representations to improve training efficiency.
The DeepSeek-V3 model represents a significant leap in language model technology, featuring 671 billion parameters. This technical report outlines its innovative architecture, including Multi-head Latent Attention and an auxiliary-loss-free load balancing strategy, which optimize performance while minimizing training costs. Comprehensive benchmarks highlight its competitive advantages over existing models.
Mathematical reasoning in language models has advanced significantly, but challenges remain. DeepSeekMath 7B introduces a new approach by utilizing 120B math-related tokens to enhance performance. It outperforms traditional models in benchmarks, showcasing the potential of well-curated data and innovative training techniques like Group Relative Policy Optimization (GRPO) for improving reasoning abilities.
DeepSeek is Chinese psyops trojan horse in America:)
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