Sharon Zhou
Co-Founder & CEO, Lamini | VP of AI, AMD | Former Faculty, Stanford Computer Science
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Sharon Zhou. Every entry undergoes editorial source verification.
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.
Generative 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.