
Language, Graphs, and AI in Industry // Paco Nathan // #201
MLOps.community
The Role of Software Engineering and Ops in AI
This chapter discusses the importance of software engineering and ops in the field of AI, debunking the misconception that AI engineers can solely rely on APIs. It highlights the need for expertise in tasks such as data engineering and platform management. The chapter also touches on the trade-offs between using external APIs and maintaining data privacy.
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.// AbstractLet'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.// MLOps Jobs board jobs.mlops.community// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related LinksAI 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 @ Anyscalehttps://www.youtube.com/watch?v=xa7k9MUeIdk"Supercharging Industrial Operations with Problem-Solving GenAI & Domain Knowledge" by Christopher Nguyen @ Aitomatichttps://www.k1st.world/2023-program/supercharging-industrial-operations-with-problem-solving-genai-domain-knowledge“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 Nghttps://www.youtube.com/watch?v=5p248yoa3oE"Advancing the Marine Industry Through the Harmony of Fishermen Knowledge and Al" by Akinori Kasai @ Furunohttps://www.k1st.world/2023-program/advancing-the-marine-industry-through-the-harmony-of-fishermen-knowledge-and-alMacy conferences (1941-1960)https://en.wikipedia.org/wiki/Macy_conferenceshttps://www.asc-cybernetics.org/foundations/history/MacySummary.htmhttps://press.uchicago.edu/ucp/books/book/distributed/C/bo23348570.htmlsecond-order cyberneticshttps://pangaro.com/designconversation/wp-content/uploads/dubberly-pangaro-chk-journal-2015.pdfhttps://en.wikipedia.org/wiki/Second-order_cyberneticsProject Cybersynhttps://jacobin.com/2015/04/allende-chile-beer-medina-cybersyn/https://thereader.mitpress.mit.edu/project-cybersyn-chiles-radical-experiment-in-cybernetic-socialism/https://99percentinvisible.org/episode/project-cybersyn/https://medium.com/@rjog/project-cybersyn-an-early-attempt-at-iot-governance-and-how-we-can-apply-its-learnings-5164be850413https://www.sustema.com/post/project-cybersyn-how-a-chilean-government-almost-controlled-the-economy-from-a-control-roomhttps://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.pdfhttps://en.wikipedia.org/wiki/Autopoiesis_and_Cognition:_The_Realization_of_the_LivingFernando 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 Burthttps://thedataexchange.media/mitigating-generative-ai-risks/"SpanMarker" by Tom Aarsen @ Hugging Facehttps://tomaarsen.github.io/SpanMarkerNER/Examples of "the math catching up with the machine learning":Guy Van den Broeck @ UCLAhttps://web.cs.ucla.edu/~guyvdb/talks/Charles Martin @ Calculations Consultinghttps://weightwatcher.ai/