What are large language models and how do they work
· AI & Machine Learning
Introduction to large language models (LLMs), transformer architecture, and how they generate text.
Category: AI & Machine Learning
57 questions in AI & Machine Learning.
How to deploy a machine learning model to production
· AI & Machine Learning
Strategies and best practices for deploying machine learning models to production environments.
How to handle imbalanced datasets in classification
· AI & Machine Learning
Address class imbalance using resampling, class weights, and algorithmic techniques to improve classifier performance.
How to build a neural network from scratch
· AI & Machine Learning
Implement a basic feedforward neural network using only NumPy to understand forward propagation, loss, and backpropagation.
What is the bias-variance tradeoff in machine learning
· AI & Machine Learning
Understand the tension between underfitting due to high bias and overfitting due to high variance.
How to evaluate machine learning model performance
· AI & Machine Learning
Use metrics like accuracy, precision, recall, F1-score, ROC-AUC, and cross-validation to assess models.
What is the difference between supervised and unsupervised learning
· AI & Machine Learning
Compare supervised learning with labeled data against unsupervised learning that discovers hidden patterns.
How to choose an AI model for your use case
· AI & Machine Learning
Learn how to balance latency, cost, accuracy, and context window when selecting an AI model for your application.
How to fine-tune an LLM on custom data
· AI & Machine Learning
Discover LoRA and QLoRA techniques to efficiently fine-tune large language models on custom domain datasets.
How to evaluate chatbot responses
· AI & Machine Learning
Learn automated and human-in-the-loop evaluation methods for measuring chatbot response quality and safety.