How to use MLflow for experiment tracking
· AI & Machine Learning
Discover how MLflow tracks experiments, logs parameters and metrics, and manages model versioning efficiently.
Category: AI & Machine Learning
57 questions in AI & Machine Learning.
How to convert a PyTorch model to ONNX
· AI & Machine Learning
Learn how to export PyTorch models to ONNX format for cross-platform deployment and inference optimization.
How to call the OpenAI API from Python
· AI & Machine Learning
Understand how to authenticate and call OpenAI APIs from Python for completions, embeddings, and chat functionality.
How to use Hugging Face Transformers
· AI & Machine Learning
Learn how to use Hugging Face Transformers library to load, fine-tune, and deploy state-of-the-art NLP models.
How to use scikit-learn for ML pipelines
· AI & Machine Learning
Discover how to build end-to-end machine learning pipelines using scikit-learn transformers and estimators.
How to build models with PyTorch
· AI & Machine Learning
Learn PyTorch fundamentals including tensors, autograd, nn.Module, and how to build and train deep learning models.
How to get started with TensorFlow
· AI & Machine Learning
Get started with TensorFlow by understanding tensors, graphs, Keras API, and building your first neural network model.
How to fine-tune a language model for a specific task
· AI & Machine Learning
Understand the process of fine-tuning pretrained language models like BERT for domain-specific NLP tasks.
What is named entity recognition NER
· AI & Machine Learning
Learn about named entity recognition and how NLP systems identify people, organizations, and locations in text.
How to evaluate an NLP model properly
· AI & Machine Learning
Discover BLEU, ROUGE, perplexity, and human evaluation methods for assessing natural language processing models.