GENERATIVE AI
GANs
Simulate GAN training dynamics: generator vs discriminator loss curves, mode collapse visualization, Nash equilibrium convergence, and archi…
GeneratorDiscriminatorTrainingMode Collapse
Simulate GANs, VAEs, diffusion models, LLM sampling, fine-tuning techniques, and evaluation metrics for generative AI — all in one interactive workstation.
Simulate GAN training dynamics: generator vs discriminator loss curves, mode collapse visualization, Nash equilibrium convergence, and archi…
Explore variational autoencoder mechanics: ELBO loss decomposition, KL divergence visualization, latent space interpolation, and the reparam…
Experiment with LLM internals: tokenization explorer, temperature and top-p sampling visualization, few-shot in-context learning, prompt eng…
Simulate DDPM forward and reverse diffusion: noise schedule comparison, U-Net denoising steps, classifier-free guidance, and latent diffusio…
Comprehensive generative AI evaluation: FID scores for images, BLEU/ROUGE for text, BERTScore semantic similarity, human evaluation framewor…
Explore LLM fine-tuning techniques: LoRA rank and alpha configuration, QLoRA 4-bit quantization, PEFT parameter efficiency, instruction data…