Can Hybrid-ML Approaches Help When Supervised Data Isn’t Enough for LLMs?

A lean architecture with symbolic vector can generate outperforming results

Written by Samuel Algherini and Leonardo Rigutini

David and Goliath. Titian 1542 -1544. Source: Wikimedia

The Large Language Models era

Over the past decade we have observed an important paradigm shift in the world of NLP. With the emergence of Deep Learning technologies, End2End approaches have gradually replaced the original machine learning approaches based on a rigorous phase of analysis and selection of features and they (and in particular Transformers) …

artificial intelligence classification data hybrid llms machine learning ml nlp transformers