Ali Taghibakhshi

Ali Taghibakhshi is a deep learning algorithm engineer at NVIDIA, focusing on LLMs and multimodal GenAI models on both the engineering and research fronts. His past contributions include adding State-Space and LLM embedding models in NVIDIA NeMo framework and scalable RLHF for LLMs and diffusion models. He received his PhD specializing in scientific computing from the University of Illinois at Urbana-Champaign in 2023.
Avatar photo

Posts by Ali Taghibakhshi

Generative AI

Enhance Text-to-Image Fine-Tuning with DRaFT+, Now Part of NVIDIA NeMo

Text-to-image diffusion models have been established as a powerful method for high-fidelity image generation based on given text. Nevertheless, diffusion models... 10 MIN READ