Fine-Tuning Large Language Models on Custom Data
Train foundation language models using custom document inputs with PyTorch and PEFT.
Train foundation language models using custom document inputs with PyTorch and PEFT.
Explore the real impact of AI on web development, from planning to maintenance, through practical examples and insights from a developer's experience.
Build and train a simple multi-layer perceptron neural network using PyTorch.
Learn how convolution kernels, pooling layers, and features map input images.
An explanation of query, key, value matrix calculations inside self-attention layers.
Build ensemble classification and regression decision trees using Scikit-Learn.
Implement and plot standard linear regressions using Python and Scikit-Learn.
Execute sentiment analysis and text summarization using transformers pipelines in Python.
Understand agent behaviors, reward policies, and Q-learning updates in virtual environments.