Paco Nathan is the Managing Partner at Derwen, Inc., and author of Latent Space, along with other books, plus popular videos and tutorials about machine learning, natural language, graph technologies, and related topics.
MLOps podcast #201 with Paco Nathan, Managing Partner at Derwen, Inc., Language, Graphs, and AI in Industry.
// Abstract
Let's talk about key findings from these conferences, specifically summarizing teams that have ROI on machine learning in production: what are the things in common they're doing, and what are the most important caveats they urge other teams to consider when getting started? Because these key takeaways aren't found in the current AI news cycle.
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// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
AI Conference: https://aiconference.com/
K1st World: https://www.k1st.world/
Corunna Innovation Summit: https://corunna.dataspartan.com/
"Cloud Computing on Amazon AWS EC2" UC Berkeley EECS guest lecture (2009)
https://vimeo.com/manage/videos/3616394
"Hardware - Software - Process: Data Science in a Post-Moore’s Law World"
https://www.nvidia.com/en-us/ai-data-science/resources/hardware-software-process-book/
“LLMs in Production: Learning from Experience” by Waleed Kadous @ Anyscale
https://www.youtube.com/watch?v=xa7k9MUeIdk
"Supercharging Industrial Operations with Problem-Solving GenAI & Domain Knowledge" by Christopher Nguyen @ Aitomatic
“The Next Million AI Systems” by Mark Huang @ Gradient: https://www.youtube.com/watch?v=lA0Npe4PqFw
"AI in a Box" by Useful Sensorshttps://usefulsensors.com/#products
"Opportunities in AI - 2023" by Andrew Ng
https://www.youtube.com/watch?v=5p248yoa3oE
"Advancing the Marine Industry Through the Harmony of Fishermen's Knowledge and AI" by Akinori Kasai @ Furuno
Macy conferences (1941-1960)
https://en.wikipedia.org/wiki/Macy_conferenceshttps://www.asc-cybernetics.org/foundations/history/MacySummary.htm
https://press.uchicago.edu/ucp/books/book/distributed/C/bo23348570.htmlsecond-order cybernetics
https://pangaro.com/designconversation/wp-content/uploads/dubberly-pangaro-chk-journal-2015.pdf
https://en.wikipedia.org/wiki/Second-order_cyberneticsProject Cybersyn
https://jacobin.com/2015/04/allende-chile-beer-medina-cybersyn/
https://99percentinvisible.org/episode/project-cybersyn/
https://transform-social.org/en/texts/cybersyn/
Humberto Maturana, Francisco Varela: Autopoeisis "De Maquinas y Seres Vivos""Everything said is said by an observer"
https://proyectos.yura.website/wp-content/uploads/2021/06/de_maquinas_y_seres_vivos_-_maturana.pdf
https://en.wikipedia.org/wiki/Autopoiesis_and_Cognition:_The_Realization_of_the_Living
Fernando Flores(led Project Cybersyn, imprisoned, later worked with Prof. Terry Winograd @ Stanford, the grad advisor for what became Google)
https://lorenabarba.com/gallery/prof-barba-gave-keynote-at-pycon-2016/
https://conversationsforaction.com/fernando-flores
"Navigating the Risk Landscape: A Deep Dive into Generative AI" by Ben Lorica and Andrew Burt
https://thedataexchange.media/mitigating-generative-ai-risks/
"SpanMarker" by Tom Aarsen @ Hugging Face
https://tomaarsen.github.io/SpanMarkerNER/
Examples of "the math catching up with the machine learning": Guy Van den Broeck @ UCLA
https://web.cs.ucla.edu/~guyvdb/talks/
Charles Martin @ Calculations Consulting
