Machine Learning for Web3 • Omoju Miller • GOTO 2023

This presentation was recorded at GOTO Chicago 2023. #GOTOcon #GOTOchgo https://gotochgo.com Omoju Miller - Data scientist and Founder & CEO of Fimio, Inc ORIGINAL TALK TITLE Machine Learning For Web3: Realizing The Potential and The Challenge of Censorship Resistance RESOURCES https://twitter.com/omojumiller https://github.com/omoju https://linkedin.com/in/omojumiller ABSTRACT With the launch of Large Language Models (LLM) like OpenAI ChatGPT and GitHub’s CoPilot, the world is having a front row seat at revolutionary technologies that will define the 21st century. These models have already conquered web2, it is time that we bring the revolution over to Web3! In this talk, we will give a brief overview of LLMs, and explore the real-world applications of language models to smart-contract phishing. We will also discuss the unique challenges and opportunities that Web3 presents for ML, such as Web3 production ready data indexing services that are optimized for batch read versus write, the lack of standardization in smart contracts and ABI decoding, and the lack of developer tooling to support the emerging languages of Web3 to name a few. In the second half of the talk, we will delve into the technical details of the technologies we need to invent in order to build a censorship-resistant ML stack. Finally we propose an open-innovation approach to solving these challenges in a WAGMI-esque style. Attendees will leave this talk with a better understanding of the potential and challenges of ML in Web3, as well as a roadmap for building a censorship-resistant ML stack. By understanding the potential of ML in Web3, its real-world applications, and the challenges of censorship resistance, attendees will be better equipped to navigate the fast-evolving field of Web3 and develop solutions that are more robust, secure, and fair. [...] Download slides and read the full abstract here: https://gotochgo.com/2023/sessions/2597 RECOMMENDED BOOKS Adi Polak • Machine Learning with Apache Spark • https://amzn.to/3ppdUkB Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx Stefan Helzle • Low-Code Application Development with Appian • https://amzn.to/3rAC0Xq Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.facebook.com/GOTOConferences #ML #MachineLearning #LLM #LargeLanguageModel #ChatGPT #Web3 #Censorship #Blockchain #OpenAI Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech Sign up for updates and specials at https://gotopia.tech/newsletter SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1