High Agency: The Podcast for AI Builders

Raza Habib
High Agency: The Podcast for AI Builders Podcast

High Agency is the podcast for AI builders. If you’re trying to understand how to successfully build AI products with Large Language Models and Generative AI then this podcast is made for you. Each week we interview leaders at companies building on the frontier who have already succeeded with AI in production. We share their stories, lessons and playbooks so you can build more quickly and with confidence. AI is moving incredibly fast and no-one is truly an expert yet, High Agency is for people who are learning by doing and will share knowledge through the community. Where to find us: https://hubs.ly/Q02z2HR40

  1. JUL 24

    Contrarian Guide to AI: Jason Liu on Betting Against Agents while Doubling Down on RAG & Fine-Tuning

    Jason Liu is a true Renaissance Man in the world of AI. He began his career working on traditional ML recommender systems at tech giants like Meta and Stitch Fix and quickly pivoted into LLMs app development when ChatGPT opened its API in 2022. As the creator of Instructor, a Python library that structures LLM outputs for RAG applications, Jason has made significant contributions to the AI community. Today, Jason is a sought-after speaker, course creator, and Fortune 500 advisor.  In this episode, we cut through the AI hype to explore effective strategies for building valuable AI products and discuss the future of AI across industries. Chapters:00:00 - Introduction and Background08:55 - The Role of Iterative Development and Metrics 10:43 - The Importance of Hyperparameters and Experimentation 18:22 - Introducing Instructor: Ensuring Structured Outputs20:26 - Use Cases for Instructor: Reports, Memos, and More28:13 - Automating Research, Due Diligence, and Decision-Making31:12 - Challenges and Limitations of Language Models32:50 - Aligning Evaluation Metrics with Business Outcomes35:09 - Improving Recommendation Systems and Search Algorithms46:05 - The Future of AI and the Role of Engineers and Product Leaders51:45 - The Raptor Paper: Organizing and Summarizing Text Chunks I hope you enjoy the conversation and if you do, please subscribe! --------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com

    55 min
  2. JUL 17

    What comes after Open AI? Logan Kilpatrick on how you should prepare for the future of LLMs

    If you need to understand the future trajectory of AI, Logan Kilpatrick will help you do just that.  Having seen the frontier at both OpenAI and Google.  Logan led developer relations at OpenAI before leading product on the Google AI Studio. He's been closer than anyone to developers building with LLMs and has seen behind the curtain at two frontier labs. Logan and I talked about:🔸 What it was like joining OpenAI the day ChatGPT hit 1 million users 🔸 What you might expect from GPT5🔸 Google's latest innovations and the battle with OpenAI🔸 How can you stay ahead and achieve real ROI🔸 Logan's insights into the form factor of AI and what will replace chatbots Chapters:00:00 - Introduction01:50 - OpenAI and the Release of ChatGPT07:43 - Characteristics of Successful AI Products and Teams10:00 - The Rate of Change in AI 12:22 - The Future of AI and the Role of Systems13:47 - ROI in AI and Challenges with Cost18:07 - Advice for Builders and the Potential of Fine-Tuning20:52 - The Role of Prompt Engineering in AI Development25:27 - The Current State of Gemini34:07 - Future Form Factors of AI39:34 - Challenges and Opportunities in Building AI Startups I hope you enjoy the conversation and if you do, please subscribe! --------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com

    45 min

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High Agency is the podcast for AI builders. If you’re trying to understand how to successfully build AI products with Large Language Models and Generative AI then this podcast is made for you. Each week we interview leaders at companies building on the frontier who have already succeeded with AI in production. We share their stories, lessons and playbooks so you can build more quickly and with confidence. AI is moving incredibly fast and no-one is truly an expert yet, High Agency is for people who are learning by doing and will share knowledge through the community. Where to find us: https://hubs.ly/Q02z2HR40

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