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

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Jan 8, 2025

Egor Kraev, Principal AI Scientist at Wise Plc and founder of the Swiss Pirate Party, dives into the transformative power of AI in fintech. He shares insights on integrating large language models into machine learning pipelines and the practical implications of his open-source MotleyCrew framework. Egor highlights the role of AI in improving fraud detection and optimizing currency flow. He also discusses the importance of autonomy within teams, navigating causal inference in marketing, and enhancing user engagement through targeted campaigns.

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ANECDOTE

From Protests to Ghana

Egor Kraev became involved in anti-globalization protests, leading him to the IMF.
He then worked for a nonprofit in Ghana, conducting economic research.

INSIGHT

LLMs as a Bridge

LLMs bridge unstructured and structured data, simplifying data science processes.
They convert complex language data into structured formats, enabling easier analysis.

ADVICE

LLMs in the DAG

Integrate LLMs as a step in your data processing pipeline, not as the entire solution.
Combine LLMs with existing tools for optimal results, treating them as another Lego brick.

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Since three years, Egor is bringing the power of AI to bear at Wise, across domains as varied as trading algorithms for Treasury, fraud detection, experiment analysis and 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 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 is 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-pizza https://github.com/py-why/causaltune https://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/