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Transformers, the tech behind LLMs | Deep Learning Chapter 5
How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile
How Large Language Models Work
How Generative AI Video Works - Computerphile
GPT3: An Even Bigger Language Model - Computerphile
Tricking AI Image Recognition - Computerphile
Transforming Language with Generative Pre-trained Transformers (GPT)
GPT-2: Why Didn't They Release It - Computerphile
Sleeper Agents in Large Language Models - Computerphile
Generative AI's Greatest Flaw - Computerphile
Transformers, explained: Understand the model behind GPT, BERT, and T5
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Last Updated: September 18, 2026
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Plausible text generation has been around for a couple of years, but how does it work - and what's next? Rob Miles on A light intro to LLMs, chatbots, pretraining, and Learn in-demand Machine Learning skills now → ibm.biz/BdK65D Learn about watsonx → ibm.biz/BdvxRj Large ... Following on from 'MikeBot3000' we're delving into just how the Generative Why didn't OpenAI release their "Unicorn" GPT2 large It's an older paper, but it checks out. Rob Miles discusses the problem of 'Sleeper Agents' - where LLMs could have hidden traits ... Described as GenAIs greatest flaw, indirect prompt injection is a big problem, Mike Pound from University of Nottingham explains ... Dale's Blog → goo.gle/3xOeWoK Classify text with BERT → goo.gle/3AUB431 Over the past five years,
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