Oct. 24, 2023, 11 p.m. | Tobias Macey

The Machine Learning Podcast www.themachinelearningpodcast.com

Summary


Large language models have gained a substantial amount of attention in the area of AI and machine learning. While they are impressive, there are many applications where they are not the best option. In this episode Piero Molino explains how declarative ML approaches allow you to make the best use of the available tools across use cases and data formats.


Announcements



  • Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it …

ai and machine learning applications attention language language models large language large language models machine machine learning piero molino summary

More from www.themachinelearningpodcast.com / The Machine Learning Podcast

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston