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A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile
How AI 'Understands' Images (CLIP) - Computerphile
Scratch Python C Kernighan on Languages for Kids Coding - Computerphile
Reinforcement Learning from Human Feedback (RLHF) Explained
Ch(e)at GPT - Computerphile
AI Language Models & Transformers - Computerphile
AI Gridworlds - Computerphile
Ai Will Try to Cheat & Escape (aka Rob Miles was Right!) - Computerphile
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Last Updated: October 26, 2026
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Summary
The real-world doesn't graph well. Sydney Von Arx discusses Deterministic route finding isn't enough for the real world - Nick Hawes of the Oxford Robotics Institute takes us through some ... Following on from 'MikeBot3000' we're delving into just how the Generative Bug Byte puzzle here - bit.ly/4bnlcb9 - and apply to Jane Street programs here - bit.ly/3JdtFBZ (episode sponsor). More about Jane Street internships at: jane-st.co/internship- We asked Brian Kernighan (author of 'C Programming Language') what language kids should try first. Coffee with Kernighan: ... Want to play with the technology yourself? Explore our interactive demo → ibm.biz/BdKSby Learn more about the ... Mike explains a paper from the University of Maryland, proposing a neat trick to 'watermark' the output of large language models ... Sponsored by Wix Code: Check them out here: wix.com/go/ As Large Language Models improve, the tokens they predict form ever more complicated and nuanced outcomes. Rob Miles and ...
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