Navigating the Unpredictable: Understanding Machine Learning Models 🤖

Navigating the Unpredictable: Understanding Machine Learning Models 🤖

AI
Navigating the Unpredictable: Understanding Machine Learning Models 🤖

This event is part of Leeds Digital Festival 2024.

Date: Tuesday 24th September

Time: 12:00 - 12:45

Location: Online

Understanding the nuances behind model predictions is crucial, especially when headlines about Air Canada’s Customer Service AI Chatbot hallucinating a refund policy stand as a burning reminder of the cost when AI goes wrong. 

In the fast-evolving landscape of machine learning, various metrics guide our development; like Z-indexes and confidence scores. Although testing doesn't share the same north star in metrics, QA plays a crucial role in offsetting the inherent unpredictability of models from a "look and feel" point of view.

We’ll explore why models can’t be bug-free, how to tackle classification overfitting, and the delicate balance of training for diverse user objectives. 

Whatever your involvement in AI - from interested end user, to data scientist or software developer, this talk promises insights that will leave you with a deeper understanding of the inner workings of machine learning and NLP models. 

Speaker:

Rachel Flynn

Senior Software Engineer

Couldn't make it? Want to watch again?

Please email talks@audacia.co.uk to request the recording and we'll send it over.

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