# Tim Rocktäschel
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Top podcast episodes featuring tim rocktäschel.
Minqi Jiang, UCL: Environment and curriculum design for general RL agents
Minqi Jiang is a Ph.D. student at UCL and FAIR, advised by Tim Rocktäschel and Edward Grefenstette. Minqi is interested in how simulators can enable AI agents to learn useful behaviors that generalize to new settings. He is especially focused on problems at the intersection of generalization, hu ...
#84 LAURA RUIS - Large language models are not zero-shot communicators [NEURIPS UNPLUGGED]
![#84 LAURA RUIS - Large language models are not zero-shot communicators [NEURIPS UNPLUGGED]](https://cdn-images-3.listennotes.com/podcasts/machine-learning/84-laura-ruis-large-language-7jt9YmFMxAb-LcOkme12ZWI.300x300.jpg)
In this NeurIPSs interview, we speak with Laura Ruis about her research on the ability of language models to interpret language in context. She has designed a simple task to evaluate the performance of widely used state-of-the-art language models and has found that they struggle to make pragmati ...
arxiv Preprint - Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
In this episode we discuss Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
by Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel. The paper presents PROMPTBREEDER, a method for evolving and adapting prompts for Large Language Models ...
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Prof. Tim Rocktäschel, AI researcher at UCL and Google DeepMind, talks about open-ended AI systems. These systems aim to keep learning and improving on their own, like evolution does in nature.
Ad: Are you a hardcore ML engineer who wants to work for Daniel Cahn at SlingshotAI building AI fo ...
Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706
Today, we're joined by Tim Rocktäschel, senior staff research scientist at Google DeepMind, professor of Artificial Intelligence at University College London, and author of the recently published popular science book, “Artificial Intelligence: 10 Things You Should Know.” We dig into the attainab ...
2024 in AI, with Nathan Benaich
Episode 142
Happy holidays! This is one of my favorite episodes of the year — for the third time, Nathan Benaich and I did our yearly roundup of all the AI news and advancements you need to know. This includes selections from this year’s State of AI Report, some early takes on o3, a few minutes ...
How Do AI Models Actually Think? - Laura Ruis
Laura Ruis, a PhD student at University College London and researcher at Cohere, explains her groundbreaking research into how large language models (LLMs) perform reasoning tasks, the fundamental mechanisms underlying LLM reasoning capabilities, and whether these models primarily rely on retrie ...
Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
In this episode, we discuss Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents by Davide Paglieri, Bartłomiej Cupiał, Jonathan Cook, Ulyana Piterbarg, Jens Tuyls, Edward Grefenstette, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel. The paper introduces a ...
Pedro Domingos: Tensor Logic Unifies AI Paradigms
Pedro Domingos, author of the bestselling book "The Master Algorithm," introduces his latest work: Tensor Logic - a new programming language he believes could become the fundamental language for artificial intelligence.
Think of it like this: Physics found its language in calculus. Circuit desi ...
Humanity’s Last Invention — Richard Socher of Recursive
At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloo ...
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