Take the Wheel: NVIDIA NeMo SteerLM Lets Companies Customize a Model’s Responses During Inference
Fitting a generative AI model to the needs of a specific application has been the equivalent of rebuilding an engine’s transmission. Developers have had to painstakingly label datasets, write lots of new code, adjust parameters in the neural network and retrain the model several times.
NVIDIA’s SteerLM replaces those complex, time-consuming processes with three simple steps:
Using a basic set of prompts, responses and desired attributes, customize an AI model that predicts how those attributes will perform.
Automatically generating a dataset using this model.
Training the model with the dataset using standard supervised fine-tuning techniques.
SteerLM is like your AI steering wheel, one that an be adapted to nearly any enterprise use case that requires generating text.
Read this NVIDIA article to find out what SteerLM can do for your AI development.