54 - Neural Networks and Data Visualization with Nicolas Rougier
Nicolas Rougier applies computational models, neural networks, and Python-based visualization tools like Glumpy and VisPy to study the brain and neurodegenerative diseases.
Defining the Frontier: Multi-Token Prediction's Place in LLM Evolution | HackerNoon
Dong et al. (2019) and Tay et al. (2022) train on a mixture of denoising tasks with different attention masks (full, causal and prefix attention) to bridge the performance gap with next token pretraining on generative tasks.
Tesla posts Optimus' most impressive video demonstration yet
Optimus demonstrates advanced capabilities by completing various tasks through a single neural network, showcasing its potential for rapid learning from real-world data.