Discover how Mercury’s diffusion-based LLMs are 10x faster than Transformers, reshaping AI for text, image, and video ...

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 ...

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.

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, ...

Learn how Apple, Amazon, and global players are investing in AI, from multimodal models to ethical challenges shaping the ...

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 ...

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 ...

IIT Madras professor Balaraman Ravindran has cast doubt on the government’s ambitious plan to develop an indigenous large ...

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 ...