) applications to develop and review model inputs and outputs for the ... datasets including rainfall, digital elevation model (DEM), watershed characteristics, soil characteristics...
for highly efficient and scalable model Training, & Inference. The ... and statistical testing, experiment tracking, model registry, and monitoring and alerting ...
., DeepSpeed, Megatron-LM) and optimizing model performance using techniques like mixed ... -precision training, gradient checkpointing, and model parallelism would be advantageous....
Annotation, Image Augmentation, Roboflow Handling, Model Pruning -Basic Understanding of LLMs ... RESTful APIs using Flask for model inference and integration with web ...