Description:
Key Responsibilities: Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications. Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors. Collect, clean, and preprocess large-scale text datasets from diverse sources. Develop and implement data augmentation techniques to improve train
Sep 15, 2025;
from:
dice.com