10 episodes
Knowledge Distillation with Helen Byrne Helen Byrne
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4.9 • 15 Ratings
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Knowledge Distillation is the podcast that brings together a mixture of experts from across the Artificial Intelligence community. We talk to the world’s leading researchers about their experiences developing cutting-edge models as well as the technologists taking AI tools out of the lab and turning them into commercial products and services. Knowledge Distillation also takes a critical look at the impact of artificial intelligence on society – opting for expert analysis instead of hysterical headlines.We are committed to featuring at least 50% female voices on the podcast – elevating the many brilliant women working in AI.
Host Helen Byrne is a VP at the British AI compute systems maker Graphcore where she leads the Solution Architects team, helping innovators build their AI solutions using Graphcore’s technology.
Helen previously led AI Field Engineering and worked in AI Research, tackling problems in distributed machine learning.
Before landing in Artificial Intelligence, Helen worked in FinTech, and as a secondary school teacher. Her background is in mathematics and she has a MSc in Artificial Intelligence.
Knowledge Distillation is produced by Iain Mackenzie.
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Neuroscience and AI with Basis co-founder Emily Mackevicius
Emily Mackevicius is a co-founder and director of Basis, a nonprofit applied research organization focused on understanding and building intelligence while advancing society’s ability to solve intractable problems.Emily is a member of the Simons Society of Fellows, and a postdoc in the Aronov lab and the Center for Theoretical Neuroscience at Columbia’s Zuckerman Institute.Her research uncovers how complex cognitive behaviors are generated by networks of neurons through local interactions and...
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Stable Diffusion 3 with Stability AI's Kate Hodesdon
Stability AI’s Stable Diffusion model is one of the best known and most widely used text-to-image systems.The decision to open-source both the model weights and code has ensured its mass adoption, with the company claiming more than 330 million downloads.Details of the latest version - Stable Diffusion 3 - were revealed in a paper, published by the company in March 2024.In this episode, Stability AI’s Kate Hodesdon joins Helen to discuss some of SD3’s new features, including improved capabili...
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Inside OpenAI's trust and safety operation - with Rosie Campbell
No organisation in the AI world is under more intense scrutiny than OpenAI. The maker of Dall-E, GPT4, ChatGPT and Sora is constantly pushing the boundaries of artificial intelligence and has supercharged the enthusiasm of the general public for AI technologies.With that elevated position come questions about how OpenAI can ensure its models are not used for malign purposes. In this interview we talk to Rosie Campbell from OpenAI’s policy research team about the many processes and safeguards ...
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Deepfakes deep dive with Nina Schick
Nina Schick is a leading commentator on Artificial Intelligence and its impact on business, geopolitics and humanity. Her book ‘Deepfakes and the Infocalypse’ charts the early use of gen AI to create deepfake pornography and the technology’s subsequent use as a tool of political manipulation. With over two decades of geopolitical experience, Nina has long been focused on macro-trends for society. She has advised global leaders, including Joe Biden, the President of the United States...
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Papers of the Month with Charlie Blake, Research Engineer at Graphcore
Charlie Blake from Graphcore’s research team discusses their AI Papers of the Month for January 2024. Graphcore research has been collating and sharing a review of the most consequential AI papers internally, every month, for a number of years. Now – for the first time – the research team is making this valuable resource public, to help the wider AI community keep up-to-date with the most exciting breakthroughs. Papers of the Month for January 2024 (with some work from December...
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The rise of synthetic data with Florian Hönicke from Jina AI
Data is the fuel that is powering the AI revolution - but what do we do when there's just not enough data to satisfy the insatiable appetite of new model training?In this episode, Florian Hönicke, Principal AI Engineer at Jina AI, discusses the use of LLMs to generate synthetic data to help solve the data bottleneck. He also addresses the potential risks associated with an over-reliance on synthetic data. German startup Jina AI is one of the many exciting companies coming out of Europe, ...
Customer Reviews
I love this podcast
Thank you to Helen and team for creating this podcast. As an AI novice I have already learnt so much more about the field. With excellent questions from Helen and engaging responses from guests, it’s a very interesting listen. Please keep them coming!
The Podcast we have all been waiting for….
Honestly Helen is brilliant and this podcast is so needed for a pretty complex and inaccessible AI landscape. Thank you for breaking it all down and make it feel exciting, dynamic and not all Doom Day!
Expert but also accessible
A terrific podcast with just the right level of detail about such an important topic. Superb guests and host make the complex, accessible