These cloud-based business services provide as empty templates that businesses can fill with their own databases to train on particularly. Since NVIDIA’s AIs allow businesses to customise a similarly-styled LLM to their own specific needs using their own proprietary data, think of ChatGPT but exclusively for one Pharma company’s research division. This is in contrast to something like Google’s Bard AI, which is trained on (and will draw from) data from all over the internet to provide a generated response. More than three times as many parameters as GPT-3.5’s 185 billion can be used to train the models, ranging from 8 billion to 530 billion.
Imagine StableDiffusion being used to train on real Getty Images with Getty’s consent. In a press statement on Tuesday, NVIDIA described a system based on the NeMo cloud service that consists of a number of ethically sourced text-to-image and text-to-video models that have been “trained on Getty Images’ fully licenced assets.” “Getty Images will pay artists royalties on any sales made using the models.”
The same technical foundations as NeMo are used by BioNeMo, which is only focused on medication and compound discovery. Bio NeMo “allows researchers to fine-tune generative AI applications on their own proprietary data, and to run AI model inference directly in a web browser or through new cloud APIs that easily integrate into existing applications,” according to a release on Tuesday.
