In the latest installment of a series covering artificial intelligence, Aaron Erickson from NVIDIA joined Natasha Allen in the ninth episode to share his insights on the direction that generative artificial intelligence is headed.
Erickson, a high-ranking executive at NVIDIA, shared a glimpse into where the world of AI, and specifically Legal Language Models (LLMs), is moving. The conversation highlighted how the AI landscape is changing, with these LLMs broadening their scopes beyond comprehending and processing natural language. They are now increasingly combining multimodal inputs, which can include elements as diversely sensory as images, sound, video, and even taste and smell.
This unique expansion of AI’s capacity is unlocking fresh potentials, potentially reshaping multiple industries and the way we interact with technology. In the legal profession, the integration of such multimodal inputs could revolutionize deep learning algorithms, enhancing AI’s ability to aid industry professionals across an extensive array of applications.
In addition, Erickson discussed the emergence of new economic models specific to AI tools. These models are designed to cater to the intricate details associated with AI’s development, such as recognition of the substantial resources required, and incorporating plans for compensation in consequence.
The focal point of the discussion, however, was the trend towards bespoke models. These are tailored for specific organizations, pointing to an encouraging push for personalized AI tools. Such tailoring promises to increase efficiency, as it provides solutions specifically crafted to meet the organization’s unique needs and operational requirements.
As the AI landscape continues to evolve, and as more players invest in AI research and development, such trends serve as a testament to the ongoing transformation of AI, its significance growing ever more pronounced in the landscape of global corporates.