Frontier LLMs & Architectures
Transformers, mixture-of-experts, interpretability, retrieval, self-supervision, and training techniques for large models.
Transformers, mixture-of-experts, interpretability, retrieval, self-supervision, and training techniques for large models.
Diffusion processes, flows, GAN/CTGAN, CFG tricks, and other approaches to high-dimensional generation.
Graph neural networks, swarm simulations, and reinforcement-learning flavored explorations.
Hopfield networks, Kalman filters, Kolmogorov ideas, probability, information theory, and philosophical musings.