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What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
How are technologies like ChatGPT created? And what does the future hold for AI language models?
This talk was filmed at the Royal Institution on 29th September 2023, in collaboration with The Alan Turing Institute.
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Generative AI refers to a type of artificial intelligence that involves creating new and original data or content. Unlike traditional AI models that rely on large datasets and algorithms to classify or predict outcomes, generative AI models are designed to learn the underlying patterns and structure of the data and generate novel outputs that mimic human creativity.
ChatGPT is perhaps the most well-known example, but the field is far larger and more varied than text generation. Other applications of generative AI include image and video synthesis, speech generation, music composition, and virtual reality.
In this lecture, Mirella Lapata will present an overview of this exciting—sometimes controversial—and rapidly evolving field.
Mirella Lapata is professor of natural language processing in the School of Informatics at the University of Edinburgh. Her research focuses on getting computers to understand, reason with, and generate natural language. She is the first recipient (2009) of the British Computer Society and Information Retrieval Specialist Group (BCS/IRSG) Karen Sparck Jones award and a Fellow of the Royal Society of Edinburgh, the ACL, and Academia Europaea.
00:00 Intro
2:38 Generative AI isn’t new – so what’s changed?
8:43 How did we get to ChatGPT?
12:38 How are Large Language Models created?
22:48 How good can a LLM become?
26:57 Unexpected effects of scaling up LLMs
28:05 How can ChatGPT meet the needs of humans?
32:30 Chat GPT demo
38:07 Are Language Models always right or fair?
40:21 The impact of LLMs on society
42:54 Is AI going to kill us all?
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Top Comments
When people say "It just predicts the next word" They do not understand the abstract nature and power of that. When you look at the smallest part of the LLM it is just a number and comparing one number to another(weight)... Very High Level of how a Neuron in your brain also does a similar thing, "neuron’s dendrite or cell body receives enough inputs from other neurons via chemical or electrical synapses and a particular threshold for that neuron is exceeded, the neuron is triggered to send an action potential across its axon."... So growing together billions of Neurons together we have a brain... We have designed a version of that but we designed it using silicon. Even though the technology of a brain and a GPU are about as different as it could be, the function is similar at some level...We are creating a technology that has emergent qualities. That is what everyone is worried about, they are worried that something will emerge out of AI that we cannot control. So saying AI is just predicting the next word, think about what you are doing before you open your mouth to answer..... To me this technology can be used to cure cancer, help solve the energy problem, and as a weapon...
Mirella Lapata’s ability to simplify complex topics with vivid examples is truly commendable. Her presentation style is both insightful and accessible.
A fresh air of presenting generative AI from different perspectives, wonderful to watch 😀
Mirella Lapata's clarity on the subject. This is very easy even for a Non-Technical person to understand .
In India Lapata means missing. And by the end of the lecture all the confusions are missing. Great lecture mam. 😅😊
