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 accessible to tho ... Show More
May 21
Relational Foundation Models for Enterprise Data with Jure Leskovec - #768
In this episode, Jure Leskovec, co-founder and chief scientist at Kumo and professor of computer science at Stanford, joins us to explore two fronts of his work: AI for science and relational deep learning. We begin with AI Virtual Cell, a multiscale effort to learn data-driven r ... Show More
1h 6m
May 7
How to Find the Agent Failures Your Evals Miss with Scott Clark - #767
In this episode, Scott Clark, co-founder and CEO of Distributional, joins us to explore how teams can reliably operate and improve complex LLM systems and agents in production. Scott introduces a Maslow’s hierarchy of observability: telemetry for logging, monitoring for known sig ... Show More
53m 19s
Apr 30
How to Engineer AI Inference Systems with Philip Kiely - #766
In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of inference engineering. We explore why inference has become the stickiest and most critical workload in AI, how it blends GPU programming, applied research, and large ... Show More
54m 51s
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)
<p>!!WARNING!!</p>
<p>Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience
Francesco </p>
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<p>In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the d ... Show More
32m 27s
Feb 2024
216 Rachel Chung - Myths & Truths About AI
<p>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 ass ... Show More
19m 47s
Jul 2023
#130 Mathew Lodge: The Future of Large Language Models in AI
<p data-pm-slice="1 1 []">Welcome to episode #130 of Eye on AI with <a href="https://www.linkedin.com/in/mathew/">Mathew Lodge</a>. In this episode, we explore the world of reinforcement learning and code generation. Mathew Lodge, the CEO of Diffblue, shares insights into how rei ... Show More
49m 44s
Feb 2023
Terry Sejnowski: NeurIPS and the Future of AI
<p>In this episode, <a href= "https://twitter.com/sejnowski?lang=en">Terry Sejnowski</a>, 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 ... Show More
37m 5s