JAX
Python
Neural Networks
Learn the essentials of JAX for optimizing and diagnosing LLM training workflows in Tunix.
ACCESS_FILE >>TensorFlow
Keras
Neural Networks
Learn how to build, compile, and train your first neural network using Keras in TensorFlow.
ACCESS_FILE >>Deep Learning
Neural Networks
Python
Learn the basics of deep learning and neural networks through a step-by-step tutorial.
ACCESS_FILE >>Reinforcement Learning
LLM Fine-tuning
JAX
Explains the principles and components of Reinforcement Learning from Human Feedback (RLHF) in LLM development.
ACCESS_FILE >>Transformer
Attention Mechanism
Deep Learning
Explains the Transformer architecture and attention mechanisms, revolutionizing NLP.
ACCESS_FILE >>Neural Networks
Deep Learning
Machine Learning
An introduction to neural networks and deep learning, inspired by the human brain.
ACCESS_FILE >>Multimodal
Vision-Language
Transformers
Explore the integration of vision and language in AI, learning about multimodal models and their applications.
ACCESS_FILE >>PyTorch
Model Training
Optimization Techniques
Learn the practical aspects of model training workflows and optimization techniques in machine learning.
ACCESS_FILE >>Quantization
Neural Networks
Optimization
An in-depth exploration of AI model quantization, bridging theoretical model development with practical application.
ACCESS_FILE >>TensorFlow
Keras
Deep Learning
A comprehensive guide to building, training, and deploying machine learning models using TensorFlow.
ACCESS_FILE >>LLM
Transformers
Architecture
An in-depth exploration of Large Language Model architectures, focusing on the Transformer mechanism.
ACCESS_FILE >>Deep Learning
PyTorch
AI
A comprehensive guide to Deep Learning with PyTorch, covering foundational tensor operations, neural network construction, custom training, and …
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