What is NGBoost and probabilistic predictions?
Machine Learning / AI
How are embeddings trained for a task with hard negatives?
What other optimizers besides Adam exist and what are their differences?
What are the main pitfalls when benchmarking tabular DL vs GBDT?
What is adversarial training as a form of protection?
What loss function should be used in class imbalance?
What types of camera calibrations are there?
Why are convolutional networks used in response systems?
How to create and train a classifier in PyTorch?
How to calculate sample size for an A/B test?
How is the search through documents carried out?
What is diversity and MMR (Maximal Marginal Relevance)?
What is post-training quantization for mobile models?
How to distinguish a triangle from a circle in an image?
How to structure a system prompt so that the model does not deviate from the instructions?
What are intrinsic and extrinsic camera parameters?
What task is solved using BERT and CRF?