Tag: Neural Networks

Learn the essentials of JAX for optimizing and diagnosing LLM training workflows in Tunix.

Explains the principles and components of Reinforcement Learning from Human Feedback (RLHF) in LLM development.

An in-depth exploration of AI model quantization, bridging theoretical model development with practical application.

An introduction to neural networks and deep learning, inspired by the human brain.

Learn the basics of deep learning and neural networks through a step-by-step tutorial.

Explains the Transformer architecture and attention mechanisms, revolutionizing NLP.

Explore the integration of vision and language in AI, learning about multimodal models and their applications.

Learn the practical aspects of model training workflows and optimization techniques in machine learning.

Learn how to build, compile, and train your first neural network using Keras in TensorFlow.

An in-depth exploration of Large Language Model architectures, focusing on the Transformer mechanism.

A comprehensive guide to Deep Learning with PyTorch, covering foundational tensor operations, neural network construction, custom training, …