(A) Comparison of MD with 95% CI for subjective question accuracy across different LLMs over various time periods. The x-axis represents the magnitude of MD, with blue squares indicating the MD value ...

As large language models move from answering questions to making decisions, I believe the economics of influence will shift ...

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

With the mission of enabling machines to truly understand the world, the Xinghan model system continues to evolve by bridging cutting-edge research with real-world applications. Named after the ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...