Category: Diffusion models
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Deep Dive into Diffusion Models for LLMs vs. Current Transformer-Based LLMs
Deep Dive into Diffusion Models for LLMs vs. Current Transformer-Based LLMs (Speed & Efficiency Analysis) The next evolution in Large Language Models (LLMs) may involve diffusion-based architectures instead of traditional transformer-based models. Currently, transformers dominate NLP (Natural Language Processing), but diffusion models have demonstrated remarkable capabilities in image and audio generation. The question is: Can…
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Advancements in Text Generation: Diffusion models
Diffusion models, originally developed for image generation, have recently been adapted to natural language processing (NLP), demonstrating promising capabilities in text generation tasks. These models operate by learning to reverse a diffusion process that adds noise to data, enabling the generation of coherent and diverse text sequences. Advancements in Text Generation: Diffusion-LM: This non-autoregressive language…