QWERKY Blog

In the rapidly evolving world of artificial intelligence, large language models (LLMs) have emerged as powerful tools capable of generating human-like text, answering complex questions, and even assisting in knowledge work. At the heart of their impressive capabilities lies a mechanism called "attention." While attention layers have been a revolutionary breakthrough for LLMs, they also come with significant bottlenecks in computational speed and memory usage. Two new and impactful architectural implementations seek to solve some problems, even despite the persistence of some interesting kinds of “bottlenecks” in memory and speed.

For this edition of the QWERKY blog, we posed three questions to three of the people who made the striking design and creation of this custom lager possible.

How Large Language Models (LLMs) are fundamentally deterministic systems and why they surprise you with non-deterministic behavior.

SC Startup Debuts Headquarters And Next Phase Of AI Research And Product Development

QWERKY AI, Led by a Seasoned Team of Tech Entrepreneurs, Secures $2 Million Seed Funding to Drive AI Innovation