Revolutionizing Decoding in Diffusion Language Models
New algorithms transform constrained decoding for diffusion language models, boosting accuracy with minimal overhead. Is this the future of inference?
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Google's DiffusionGemma achieves 4x faster text generation using diffusion-based approach
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.
Google's DiffusionGemma achieves 4x faster text generation using diffusion-based parallel token generation
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.
Google's DiffusionGemma achieves 4x faster text generation using diffusion-based parallel token generation
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.
Consistency Diffusion Language Models Achieve 14x Faster Inference Through KV Caching and Step Reduction
Standard diffusion language models can't use KV caching and need too many refinement steps to be practical. CDLM fixes both with a post-trai
Consistency Diffusion Language Models Achieve 14x Faster Inference Through KV Caching and Step Reduction
Standard diffusion language models can't use KV caching and need too many refinement steps to be practical. CDLM fixes both with a post-trai

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