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Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282

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Manage episode 460002925 series 3241972
Contenuto fornito da Demetrios. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Demetrios o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

For three years, Egor has been bringing the power of AI to bear at Wise, across domains as varied as trading algorithms for Treasury, fraud detection, experiment analysis, causal inference, and, recently, the numerous applications unlocked by large language models. Open-source projects initiated and guided by Egor include wise-pizza, causaltune, and neural-lifetimes, with more on the way.

Machine Learning, AI Agents, and Autonomy // MLOps Podcast #282 with Egor Kraev, Head of AI at Wise Plc.

// Abstract

Demetrios chats with Egor Kraev, principal AI scientist at Wise, about integrating large language models (LLMs) to enhance ML pipelines and humanize data interactions. Egor discusses his open-source MotleyCrew framework, career journey, and insights into AI's role in fintech, highlighting its potential to streamline operations and transform organizations.

// Bio

Egor first learned mathematics in the Russian tradition, then continued his studies at ETH Zurich and the University of Maryland. Egor has been doing data science since the last century, including economic and human development data analysis for nonprofits in the US, the UK, and Ghana, and 10 years as a quant, solutions architect, and occasional trader at UBS, then Deutsche Bank. Following last decade's explosion in AI techniques, Egor became Head of AI at Mosaic Smart Data Ltd, and for the last four years has been bringing the power of AI to bear at Wise, in a variety of domains, from fraud detection to trading algorithms and causal inference for A/B testing and marketing. Egor has multiple side projects, such as RL for molecular optimization, GenAI for generating and solving high school math problems, and others.

// MLOps Swag/Merch

https://shop.mlops.community/

// Related Links

https://github.com/transferwise/wise-pizzahttps://github.com/py-why/causaltunehttps://www.linkedin.com/posts/egorkraev_a-talk-on-experimentation-best-practices-activity-7092158531247755265-q0kt?utm_source=share&utm_medium=member_desktop

--------------- ✌️Connect With Us ✌️ -------------

Join our Slack community: https://go.mlops.community/slack

Follow us on Twitter: @mlopscommunity

Sign up for the next meetup: https://go.mlops.community/register

Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/

Connect with Egor on LinkedIn: https://www.linkedin.com/in/egorkraev/

Timestamps:

[00:00] Egor's preferred coffee

[00:40] Takeaways

[01:56] Swiss pirate party

[04:08] Ghana Work and Wise

[07:21] AI Bridge Unstructured Structured

[12:40] AI in Wise Fintech

[16:26] AI as Dag Node

[19:38] Causal Inference with ML

[25:35] Insight validation process

[31:00] Agent UX and challenges

[37:11] Monthly crew vision

[41:00] Montley Crew Framework Abstraction

[42:57] Causal tune

[47:38] Wise email campaigns

[50:29] Organizational structures in AI

[53:19] AI uncertainty and hallucinations

[55:08] Decentralized org structures

[1:01:34] Permaculture and team synergy

[1:03:29] Wrap up

  continue reading

489 episodi

Artwork
iconCondividi
 
Manage episode 460002925 series 3241972
Contenuto fornito da Demetrios. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Demetrios o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

For three years, Egor has been bringing the power of AI to bear at Wise, across domains as varied as trading algorithms for Treasury, fraud detection, experiment analysis, causal inference, and, recently, the numerous applications unlocked by large language models. Open-source projects initiated and guided by Egor include wise-pizza, causaltune, and neural-lifetimes, with more on the way.

Machine Learning, AI Agents, and Autonomy // MLOps Podcast #282 with Egor Kraev, Head of AI at Wise Plc.

// Abstract

Demetrios chats with Egor Kraev, principal AI scientist at Wise, about integrating large language models (LLMs) to enhance ML pipelines and humanize data interactions. Egor discusses his open-source MotleyCrew framework, career journey, and insights into AI's role in fintech, highlighting its potential to streamline operations and transform organizations.

// Bio

Egor first learned mathematics in the Russian tradition, then continued his studies at ETH Zurich and the University of Maryland. Egor has been doing data science since the last century, including economic and human development data analysis for nonprofits in the US, the UK, and Ghana, and 10 years as a quant, solutions architect, and occasional trader at UBS, then Deutsche Bank. Following last decade's explosion in AI techniques, Egor became Head of AI at Mosaic Smart Data Ltd, and for the last four years has been bringing the power of AI to bear at Wise, in a variety of domains, from fraud detection to trading algorithms and causal inference for A/B testing and marketing. Egor has multiple side projects, such as RL for molecular optimization, GenAI for generating and solving high school math problems, and others.

// MLOps Swag/Merch

https://shop.mlops.community/

// Related Links

https://github.com/transferwise/wise-pizzahttps://github.com/py-why/causaltunehttps://www.linkedin.com/posts/egorkraev_a-talk-on-experimentation-best-practices-activity-7092158531247755265-q0kt?utm_source=share&utm_medium=member_desktop

--------------- ✌️Connect With Us ✌️ -------------

Join our Slack community: https://go.mlops.community/slack

Follow us on Twitter: @mlopscommunity

Sign up for the next meetup: https://go.mlops.community/register

Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/

Connect with Egor on LinkedIn: https://www.linkedin.com/in/egorkraev/

Timestamps:

[00:00] Egor's preferred coffee

[00:40] Takeaways

[01:56] Swiss pirate party

[04:08] Ghana Work and Wise

[07:21] AI Bridge Unstructured Structured

[12:40] AI in Wise Fintech

[16:26] AI as Dag Node

[19:38] Causal Inference with ML

[25:35] Insight validation process

[31:00] Agent UX and challenges

[37:11] Monthly crew vision

[41:00] Montley Crew Framework Abstraction

[42:57] Causal tune

[47:38] Wise email campaigns

[50:29] Organizational structures in AI

[53:19] AI uncertainty and hallucinations

[55:08] Decentralized org structures

[1:01:34] Permaculture and team synergy

[1:03:29] Wrap up

  continue reading

489 episodi

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