Kaila Davis

Artificial Intelligence (AI) has witnessed a paradigm shift as researchers from Meta, École des Ponts ParisTech, and Université Paris-Saclay unveil a cutting-edge approach poised to revolutionize AI’s Large Language Models (LLMs). Moving away from the well-trodden path of single-token predictions, the team has engineered a novel multi-token prediction strategy. This innovation aims to accelerate and refine the accuracy of LLMs,

Generative AI is reshaping the landscape across various sectors by offering capabilities that range from content creation to insightful analytics. However, the emergence of “AI hallucinations,” where systems generate misleading or irrelevant answers, poses a challenge for integrating AI into critical facets of business. As organizations seek to harness the power of AI while ensuring the veracity of its outputs,

In the realm of robotics, advancements are propelled by cutting-edge technologies and novel methodologies. A key challenge for robotics has been the sim-to-real transfer—the transition of robotic systems trained in simulated environments to operate in the unpredictable real world. Enter DrEureka, an innovative technique designed to tackle this challenge by integrating Large Language Models (LLMs) to generate AI-derived reward functions

The role of artificial intelligence (AI) in the business sphere has risen to significant prominence, urging companies to tackle the delicate task of its integration with both optimism and scrutiny. As AI developments shape the fabric of corporate functionality, the chasm between imagined capability and authentic performance invites scrutiny. The forthcoming San Francisco event stands poised to dissect these complexities,