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What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata



The Royal Institution

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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30 thoughts on “What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
  1. 😂😂😂This really shows that we shouldn't leave it up to a group of tech engineers to shape the world and hold all the power. They show to know little about the broader world and simply reinvent the wheel for others like them, making the rest of us believe they've created something truly new and amazing. 😢

  2. I come to listen with a lot of enthusiasm your courses about GPT and generative AI .
    Altogether, i retained an important parts of those aspects about those tools which are efficient in research matter including learning ..Once more thank you for offering me the opportunity to boost my knowledge , skill and competency.

  3. 🤖 Intro: Understanding Generative AI

    [00:12] What IS Generative AI? (Simply Put: AI Creating New Stuff!)
    [01:16] What Can It Create? (Text, Images, Code, Video, Audio & More)
    [01:36] Today's Focus: Generating Text

    📜 The Past: How We Got to Today's AI

    [02:50] This Isn't Brand New: Early Examples We Already Used (Google Translate, Siri)
    [05:07] The 2023 Breakthrough: GPT-4's Impressive Capabilities (Passing Tests, etc.)
    [07:31] Unprecedented Growth: How ChatGPT Went Viral Faster Than Anything Before 🚀

    💡 The Present: How Generative AI Works NOW

    [08:28] The Core Idea: Language Modeling (AI Predicts the Next Word)
    [09:41] How It Learns: Neural Networks Finding Patterns in Massive Text Data
    [12:29] Building the AI Brain: Data Collection & The Training Process 🏗
    [14:44] Tech Deep Dive: Neural Networks, Parameters & The Transformer Architecture
    [22:53] What Makes a "Great" Language Model? The Importance of SCALE (Data & Size) 🔑
    [26:03] The Price Tag: Training These Huge Models is Expensive 💰
    [28:03] Tailoring the AI: Fine-Tuning Models for Specific Jobs
    [29:28] The Alignment Problem: Making AI Helpful, Honest & Harmless (The 3 H's) ✅
    [32:22] Live Demo Time: Watch GPT Work (Showcasing Abilities & Weaknesses)

    🔮 The Future: Risks, Ethics & What's Next

    [38:03] Proceed with Caution: Major Risks to Consider (Misinformation, Bias, Environmental Impact) ⚠
    [40:57] The Big Question: How Will AI Impact Jobs? 🤔
    [42:53] Looking Forward: Superintelligence, Managing Risks & Insights from Tim Berners-Lee
    [44:47] The Path Ahead: Balancing AI's Huge Benefits with Essential Regulation & Ethics

  4. maybe it would be better to underline more that AI is a stocastic process .
    an extremely powerfull stocastic process.
    that also means nobody knows howbit really works
    because the neural connections are programmed by developed during the training phase
    is AI correct ?
    jist statiscally

    but what happens when fake is more common that proven data ?

  5. The rise of AI is creating so many exciting career opportunities! I’ve seen more people starting to learn how to work with these tools, and it's great to see the industry grow. If you're curious about exploring AI in depth, GenAI99 offers courses to help you get started and progress at your own pace.

  6. A Smithsonian article containing historic photos of enslaved africans with various heinous injuries was posted online and many of the comments were people accusing it of being AI images. This technology is not 'bad' or 'good' but it doesn't exist in a vacuum. It also takes a lot of energy, which would be fine if we weren't already suffering rolling blackouts and an aging power grid. We are building the carriage before buying the horse and not even considering where we'll be riding to.

  7. An outstanding presentation by Professor Mirella Lapata. Her exposition on Generative AI was both intellectually rigorous and highly accessible. The structured narrative, combined with clear examples, provided valuable insights into the current capabilities and future directions of the field. A commendable contribution to AI education and public understanding.

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