logo
episode-header-image
May 2018
44m 19s

Practical Deep Learning with Rachel Thom...

Sam Charrington
About this episode
In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algebra course. The courses are designed to make deep learning more accessib ... Show More
Up next
Aug 19
Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743
Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-u ... Show More
1h 1m
Aug 12
Closing the Loop Between AI Training and Inference with Lin Qiao - #742
In this episode, we're joined by Lin Qiao, CEO and co-founder of Fireworks AI. Drawing on key lessons from her time building PyTorch, Lin shares her perspective on the modern generative AI development lifecycle. She explains why aligning training and inference systems is essentia ... Show More
1h 1m
Jul 29
Context Engineering for Productive AI Agents with Filip Kozera - #741
In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new programming interface. Filip breaks down the architecture of these "background agents," explaining how they use a reflection lo ... Show More
46m 1s
Recommended Episodes
Sep 2019
François Chollet: Keras, Deep Learning, and the Progress of AI
François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and ... Show More
56m 57s
Feb 2020
#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. ... Show More
1h 29m
Jan 2024
Careers, Skills, and the Evolution of AI (Ep. 248)
!!WARNING!! Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco     In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the dynamic intersection of AI and edu ... Show More
32m 27s
Mar 2021
Green AI 🌲 (Practical AI #124)
Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI researc ... Show More
1 h
Feb 2024
216 Rachel Chung - Myths & Truths About AI
It’s been a little over a year now since most of us were introduced to ChatGPT. Since that time, many professionals, businesses and organizations have worked hard to understand not only ChatGPT, but    machine learning and Artificial Intelligence, and what it all can do to assist ... Show More
19m 47s
Oct 2017
The Complexity of Learning Neural Networks
Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the ma ... Show More
38m 51s
Aug 2022
NVIDIA’s Clément Farabet on Orchestrating AI Training for Autonomous Vehicles - Ep. 175
Autonomous vehicles are one of the most complex AI challenges of our time. The networks running in the car must act as an intricate symphony, requiring intensive training, testing and validation on massive amounts of data to operate safely in the real world. Clément Farabet is th ... Show More
29m 36s
Mar 2023
#312 — The Trouble with AI
Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, ChatGPT, a poss ... Show More
1h 26m
Jul 2023
#130 Mathew Lodge: The Future of Large Language Models in AI
Welcome to episode #130 of Eye on AI with Mathew Lodge. In this episode, we explore the world of reinforcement learning and code generation. Mathew Lodge, the CEO of Diffblue, shares insights into how reinforcement learning fuels generative AI. As we explore the intricacies of re ... Show More
49m 44s
Feb 2023
Terry Sejnowski: NeurIPS and the Future of AI
In this episode, Terry Sejnowski, an AI pioneer, chairman of the NeurIPS Foundation, and co-creator of Boltzmann Machines, delves into the latest developments in deep learning and their potential impact on our understanding of the human brain. Terry Sejnowski begins by discussing ... Show More
37m 5s