Education Bookcast

147. Large language models (LLMs) - interview with Dr Guy Emerson

Jul 24, 2023

01:11:19

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Episode notes

Introduction

3min

The Future of Language Models

3min

The Importance of Language Models in Engineering Applications

2min

The Frustration of Large Language Model Public Excitement

2min

The Importance of Evaluating Large Language Models

2min

The Importance of Usability in Programming

3min

How to Train a Machine Learning System

4min

The Importance of Knowing the Training Data

3min

The Legal Status of the Data Model and the Training Process

2min

10.

How to Overanthropomorphize a Language Model

3min

11.

How to Create a Chatbot That's Having a Conversation With You

5min

12.

The Importance of Artificial Intelligence in Search

3min

13.

The Importance of Word Vectors in Natural Language Processing

2min

14.

How Chatbots Are Trained to Be More Polite and Kind

4min

15.

The Importance of Common-Sense Reasoning in Automating Work

2min

16.

The Future of AI Language Models

2min

17.

The Impact of AI on the Human Society

2min

18.

The Impact of AI on the Publishing Industry

2min

19.

The Future of Language Models

2min

20.

The Problem With Scientific Training Data

3min

21.

The Advancement of Deep Learning in Machine Learning

3min

22.

The Different Mechanisms by Which Deep Learning Can Make Good Predictions

2min

23.

The Problem With AGI as a Tongue

2min

24.

How to Beat a Machine Learning System That Plays Go

4min

25.

How to Teach a Strategy to Poke Hole

3min

26.

The Future of Technology

3min

27.

The Politics of Change

2min

Dr Guy Emerson (a.k.a Guy Karavengleman) is a computational linguist working at the Cambridge University Computer Laboratory. In this episode, we discuss issues surrounding LLMs such as ChatGPT, GPT-3, GPT-4, and Google Bard.

Guy is concerned about misinterpretations of what the technology does and is capable of. As a computational linguist, he works on language models with a focus on semantics and human language acquisition, and thus questions of linguistic meaning and understanding are particularly relevant to his work. While LLMs are an impressive technology with startling capabilities, we need to be aware of when we may be fooling ourselves about their potential.

In this episode, we discuss what LLMs are; ways in which they have been misrepresented and misinterpreted; ethical questions about the companies developing this technology; and what they might be used for.

Enjoy the episode.

***

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Education Bookcast

147. Large language models (LLMs) - interview with Dr Guy Emerson

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