Tech talk

Transformers in NLP: does size matter?

Enrico Bertino Transformers in NLP: does size matter?

A world divided between Compressed Networks and Large Language Models

A debate between two philosophies of life in Machine Learning:
use lighter models that are easier to deploy or increase the size dramatically and gain a performance delta? Let’s deep dive into what the scientific community is working on and the winning approach.

About Enrico Bertino

Enrico Bertino is the Chief Ai Officer at indigo.ai.
Starting from a passion for mathematics and statistics, he approached the world of natural language and co-founded indigo.ai, a full-service conversational AI platform. He leads the R&D team, managing both the scientific research side and the production deployment of NLP Machine Learning models.

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