Ines Montani on Natural Language Processing

Ines speaks with host Jeremy Jung about solving problems using natural language processing. They cover generative vs. predictive tasks, creating a pipeline and breaking down problems, labeling examples for training, fine-tuning models, using LLMs to label data and build prototypes, and the spaCy NLP library.

breaking build data examples fine-tuning generative interview labeling language language processing library llms natural natural language natural language processing nlp pipeline predictive processing spacy tasks training