Vanishing Gradients

By: Hugo Bowne-Anderson
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  • Summary

  • A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.
    © 2024 Hugo Bowne-Anderson
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Episodes
  • Episode 1: Introducing Vanishing Gradients

    Episode 1: Introducing Vanishing Gradients
    Feb 16 2022
    In this brief introduction, Hugo introduces the rationale behind launching a new data science podcast and gets excited about his upcoming guests: Jeremy Howard, Rachael Tatman, and Heather Nolis! Original music, bleeps, and blops by local Sydney legend PlaneFace (https://planeface.bandcamp.com/album/fishing-from-an-asteroid)!
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    5 mins
  • Episode 38: The Art of Freelance AI Consulting and Products: Data, Dollars, and Deliverables

    Episode 38: The Art of Freelance AI Consulting and Products: Data, Dollars, and Deliverables
    Nov 4 2024
    Hugo speaks with Jason Liu, an independent AI consultant with experience at Meta and Stitch Fix. At Stitch Fix, Jason developed impactful AI systems, like a $50 million product similarity search and the widely adopted Flight recommendation framework. Now, he helps startups and enterprises design and deploy production-level AI applications, with a focus on retrieval-augmented generation (RAG) and scalable solutions. This episode is a bit of an experiment. Instead of our usual technical deep dives, we’re focusing on the world of AI consulting and freelancing. We explore Jason’s consulting playbook, covering how he structures contracts to maximize value, strategies for moving from hourly billing to securing larger deals, and the mindset shift needed to align incentives with clients. We’ll also discuss the challenges of moving from deterministic software to probabilistic AI systems and even do a live role-playing session where Jason coaches me on client engagement and pricing pitfalls. LINKS The livestream on YouTube (https://youtube.com/live/9CFs06UDbGI?feature=share) Jason's Upcoming course: AI Consultant Accelerator: From Expert to High-Demand Business (https://maven.com/indie-consulting/ai-consultant-accelerator?utm_campaign=9532cc&utm_medium=partner&utm_source=instructor) Hugo's upcoming course: Building LLM Applications for Data Scientists and Software Engineers (https://maven.com/s/course/d56067f338) Jason's website (https://jxnl.co/) Jason's indie consulting newsletter (https://indieconsulting.podia.com/) Your AI Product Needs Evals by Hamel Husain (https://hamel.dev/blog/posts/evals/) What We’ve Learned From A Year of Building with LLMs (https://applied-llms.org/) Dear Future AI Consultant by Jason (https://jxnl.co/writing/#dear-future-ai-consultant) Alex Hormozi's books (https://www.acquisition.com/books) The Burnout Society by Byung-Chul Han (https://www.sup.org/books/theory-and-philosophy/burnout-society) Jason on Twitter (https://x.com/jxnlco) Vanishing Gradients on Twitter (https://twitter.com/vanishingdata) Hugo on Twitter (https://twitter.com/hugobowne) Vanishing Gradients' lu.ma calendar (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Vanishing Gradients on YouTube (https://www.youtube.com/@vanishinggradients)
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    1 hr and 24 mins
  • Episode 37: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 2

    Episode 37: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 2
    Oct 8 2024
    Hugo speaks with three leading figures from the world of AI research: Sander Schulhoff, a recent University of Maryland graduate and lead contributor to the Learn Prompting initiative; Philip Resnik, professor at the University of Maryland, known for his pioneering work in computational linguistics; and Dennis Peskoff, a researcher from Princeton specializing in prompt engineering and its applications in the social sciences. This is Part 2 of a special two-part episode, prompted—no pun intended—by these guys being part of a team, led by Sander, that wrote a 76-page survey analyzing prompting techniques, agents, and generative AI. The survey included contributors from OpenAI, Microsoft, the University of Maryland, Princeton, and more. In this episode, we cover: The Prompt Report: A comprehensive survey on prompting techniques, agents, and generative AI, including advanced evaluation methods for assessing these techniques. Security Risks and Prompt Hacking: A detailed exploration of the security concerns surrounding prompt engineering, including Sander’s thoughts on its potential applications in cybersecurity and military contexts. AI’s Impact Across Fields: A discussion on how generative AI is reshaping various domains, including the social sciences and security. Multimodal AI: Updates on how large language models (LLMs) are expanding to interact with images, code, and music. Case Study - Detecting Suicide Risk: A careful examination of how prompting techniques are being used in important areas like detecting suicide risk, showcasing the critical potential of AI in addressing sensitive, real-world challenges. The episode concludes with a reflection on the evolving landscape of LLMs and multimodal AI, and what might be on the horizon. If you haven’t yet, make sure to check out Part 1, where we discuss the history of NLP, prompt engineering techniques, and Sander’s development of the Learn Prompting initiative. LINKS The livestream on YouTube (https://youtube.com/live/FreXovgG-9A?feature=share) The Prompt Report: A Systematic Survey of Prompting Techniques (https://arxiv.org/abs/2406.06608) Learn Prompting: Your Guide to Communicating with AI (https://learnprompting.org/) Vanishing Gradients on Twitter (https://twitter.com/vanishingdata) Hugo on Twitter (https://twitter.com/hugobowne) Vanishing Gradients' lu.ma calendar (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Vanishing Gradients on YouTube (https://www.youtube.com/@vanishinggradients)
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    51 mins

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