You are viewing content from a past/completed QCon Plus - November 2021

Session

The Unreasonable Effectiveness of Zero Shot Learning

A long and expensive phase of machine learning projects is collecting and labelling data, and training ML models. In this talk I will show how one can get started deploying models without requiring any data. We talk about what foundational models are, and go through examples of them, such as GPT-3 and OpenAI CLIP. We will then take a practical look at how you can use them for your own problems!


Speaker

Roland Meertens

Product Manager @annotell

Roland has a passion for Artificial Intelligence, and is specialised in robotics projects. He set up machine learning projects all the way from sensor selection, data collection and labelling to deploying the model in production. Please approach him to talk about deep learning and neural networks.

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Date

Tuesday Nov 9 / 12:10PM EST (40 minutes)

Track

ML Everywhere

Topics

Machine LearningArtificial IntelligenceData Engineering

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