Sharon Zhou
Co-Founder & CEO, Lamini | VP of AI, AMD | Former Faculty, Stanford Computer Science
Co-founder and former CEO of Lamini, the enterprise LLM fine-tuning and inference engine, now VP of AI at AMD. Former faculty member and PhD graduate at Stanford University, where she was advised by Andrew Ng and led generative AI research. Co-creator of the widely popular Generative Adversarial Networks (GANs) Specialization on Coursera, instructing over 100,000 engineers in generative modeling.
Areas of focus
Professional niches
Proof of Work
Lamini Memory Tuning: Precise Fact Recall Without Hallucination
Developed Lamini Memory Tuning, a technique embedding millions of precise factual enterprise associations into LLM weights with zero hallucination while preserving generalized instruction-following capability.
Aggressive factual weight baking risks model overfitting and can degrade out-of-distribution reasoning on non-memorized prompts.
Context: LoRA/PEFT adaptation, cross-entropy weight tuning, hallucination evaluation harnesses.
View missionGenerative Adversarial Networks and Deep Generative Modeling Curriculum
Authored and taught the comprehensive Stanford/DeepLearning.AI generative modeling curriculum, breaking down minimax optimization, Wasserstein loss, and conditional synthesis for over 100,000 developers worldwide.
Classical GAN training suffers from mode collapse and training instability compared to contemporary score-based diffusion models.
Context: GANs, conditional image synthesis, Wasserstein divergence, minimax game theory.
View mission