philip lelyveld The world of entertainment technology

Nvidia enables broader usage of AI with LLM cloud services

... Kharya explained that with a transformer, the AI model can understand which parts of a sentence, an image or even very disparate data points are relevant to each other. Unlike convolutional neural networks (CNNs), which typically look at only the immediate neighboring relationships, transformers are designed to train on more distant relationships as well, which Kharya said is very important for use cases like natural language processing (NLP). ...

The GPT-3 LLM has helped to increase awareness and adoption of LLMs for a variety of use cases, including summation and text generation. An LLM is also at the foundation of the DALL-E text-to-image generation technology. ...

The giant AI models that the service will support include a 5 billion- and a 20 billion-parameter GPT-based model, as well as one based on the Megatron 530-billion parameter LLM. As part of the service, Nvidia is also supporting prompt learning–based tuning to rapidly enable context-specific use cases. Kharya said that the NeMo LLM Service will also include the option to use both ready-made models and custom models through a cloud-based API experience.

Going a step further, Nvidia is also launching a specific LLM capability for life sciences with the BioNeMo Service. ...

See the full story here: https://venturebeat.com/ai/nvidia-enables-broader-usage-of-ai-with-llm-cloud-services/