Diffusion LLMs Arrive : Is This the End of Transformer Large Language Models (LLMs)?
Discover how Mercury’s diffusion-based LLMs are 10x faster than Transformers, reshaping AI for text, image, and video ...
InfoWorld27d
Large language models: The foundations of generative AI
Large language models evolved alongside ... became even worse with the release of GPT-3. GPT-3 is a 2020 autoregressive language model with 175 billion parameters, trained on a combination of ...
The Daily Cardinal4d
Can AI keep a secret? The implications of human-like AI and data privacy
Takeaways from Dr. Niloofar Mireshghallah’s talk on the implications of generative AI and privacy and data integrity concerns at the University of Wisconsin-Madison on Monday.
marktechpost25d
Breaking the Autoregressive Mold: LLaDA Proves Diffusion Models can Rival Traditional Language Architectures
The field of large language models has long been dominated by autoregressive methods that predict text sequentially from left to right. While these approaches power today’s most capable AI systems, ...
AI Breakthroughs: Chain of Draft, Grok 3, and the Rise of Diffusion LLMs
Learn how Apple, Amazon, and global players are investing in AI, from multimodal models to ethical challenges shaping the ...
IEEE7d
Autoregressive Language Model with Historical Context Re-encoding
Abstract: The foundation of current large language model applications lies in the generative language model, which typically employs an autoregressive token generation approach. However, this model ...
marktechpost8d
Inception Unveils Mercury: The First Commercial-Scale Diffusion Large Language Model
Introducing the first-ever commercial-scale diffusion large language models (dLLMs), Inception labs ... an astonishing 5-10x speed increase compared to current leading autoregressive models. Diffusion ...
Analytics India Magazine9d
IIT Madras Prof Balaraman Ravindran Questions IndiaAI Mission’s Timeline to Build an Indigenous LLM
IIT Madras professor Balaraman Ravindran has cast doubt on the government’s ambitious plan to develop an indigenous large ...
IEEE7d
WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models
Abstract: Large Language Models (LLMs) use key-value (KV) cache to reduce redundant computation in autoregressive generation. However, the KV cache size increases linearly during generation, leading ...