High Agency: The Podcast for AI Builders

Raza Habib
  • 5.0 (1)
  • TECHNOLOGY
  • UPDATED WEEKLY
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. 1 DAY AGO

    From Fiction to Reality: Sudowrite's Journey in AI-Assisted Creative Writing

    In this episode, we dive deep into the world of AI-assisted creative writing with James Yu, founder of Sudowrite. James shares the journey of building an AI assistant for novelists, helping writers develop ideas, manage complex storylines, and avoid clichés. James gets into the backlash the company faced when they first released Story Engine and how they're working to build a community of users. 00:00 - Introduction and Background of Sudowrite02:26 - The Early Days: Concept, Skepticism, and User Adoption05:20 - Sudowrite's Interface, Features, and User Base10:23 - Developing and Iterating Features in Sudowrite17:29 - The Evolution of Story Bible and Writing Assistance24:27 - Challenges in Maintaining Coherence and AI-Assisted Writing29:12 - Evaluating AI Features and the Role of Prompt Engineering33:35 - Handling Tropes, Clichés, and Fine-Tuning for Author Voice40:43 - The Controversy and Future of AI in Creative Work51:37 - Predictions for AI in the Next Five Years --------------------------------------------------------------------------------------------------------------------------------------------------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

    57 min

  2. SEP 4

    Building the Nervous System for AI with Russ d'Sa from LiveKit

    In this episode, LiveKit CEO Russ d'Sa explores the critical role of real-time communication infrastructure in the AI revolution. From building voice demos to powering OpenAI's ChatGPT,  he shares insights on technical challenges around building multimodal AI on the web and what new possibilities are opening up. 00:00 - Introduction and Background01:34 - The Evolution of AI and Lessons for Founders05:20 - Timelines and Technological Progress10:32 - Overview of LiveKit and Its Impact on AI Development13:39 - Why LiveKit Matters for AI Developers19:08 - Partnership with OpenAI21:25 - Challenges in Streaming and Real-Time Data Transmission30:07 - Building a global network for AI communication37:21 - Real-world applications of LiveKit in AI systems40:55 - Future of AI and the Concept of Abundance43:38 - The Irony of Wealth in an Age of AI 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

    49 min

  3. AUG 28

    From PyTorch to Fireworks AI: Lin Qiao on Building AI Infrastructure

    This week we’re talking to Lin Qiao, former PyTorch lead at Meta and current CEO of Fireworks AI. We discuss the evolution of AI frameworks, the challenges of optimizing inference for generative AI, the future of AI hardware, and open-source models. Lin shares insights on PyTorch design philosophy, how to achieve low latency, and the potential for AI to become as ubiquitous as electricity in our daily lives. Chapters: 00:00 - Introduction and PyTorch Background04:28 - PyTorch's Success and Design Philosophy08:20 - Lessons from PyTorch and Transition to Fireworks AI14:52 - Challenges in Gen AI Application Development22:03 - Fireworks AI's Approach24:24 - Technical Deep Dive: How to Achieve Low Latency29:32 - Hardware Competition and Future Outlook31:21 - Open Source vs. Proprietary Models37:54 - Future of AI and Conclusion 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

    42 min

  4. AUG 21

    How Paras Jain is building the future of AI video creation

    In this episode of High Agency, we are speaking to Paras Jain who is the CEO of AI video generation startup Genmo. Paras shares insights from his experience working on autonomous vehicles, why he chose academia over an offer from Tesla, and the research-minded approach that has lead to Genmo's rapid success. Chapters:(00:00) Introduction(01:52) Lessons from selling an AI company to Tesla(07:01) Working within GPU constraints and transformer architecture(11:18) Moving from research to startup success(14:36) Leading the video generation industry(16:05) Training diffusion models for videos(19:36) Evaluating AI video generation(24:06) Scaling laws and data architecture(28:34) Issues with scaling diffusion models (33:09) Business use cases for video generation models(36:43) Potential and limitations of video generation(40:59) Ethical training of video models

    49 min

  5. AUG 16

    AI at Scale: Lessons from Gusto's $9.5 billion journey with Eddie Kim & Ali Rowghani

    In this week’s episode of the High Agency podcast, Humanloop Co-Founder and CEO Raza Habib sat down with Eddie Kim, co-founder and Head of Technology at Gusto and guest host Ali Rowghani to discuss how Gusto has applied AI to revolutionize ops-heavy processes like payroll and HR admin. Eddie also elaborates why Gusto is choosing to build, and not buy, the majority of their GenAI tech stack. Chapters00:00 - Introduction and Background02:15 - Overview of Gusto's Business05:59 - Operational Complexity and AI Opportunities08:51 - Build vs. Buy: Internal vs. External AI Tools10:07 - Prioritizing AI Use Cases13:53 - Human-in-the-Loop Approach19:39 - Centralized AI Team and Approach22:53 - Measuring ROI from AI Initiatives32:25 - AI-Powered Reporting Feature38:46 - Code Generation and Developer Tools42:52 - Impact of AI on Companies and Society47:22 - AI Safety and Risks49:54 - Closing Thoughts 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/podcast

    56 min

  6. AUG 2

    Building the first LLM-based search engine for developers with Michael Royzen

    In this episode, we sit down with Michael Royzen, CEO and co-founder of Phind. Michael shares insights from his journey in building the first LLM-based search engine for developers, the challenges of creating reliable AI models, and his vision for how AI will transform the work of developers in the near future.  Tune in to discover the groundbreaking advancements and practical implications of AI technology in coding and beyond. 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

    57 min

  7. 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

  8. 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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About

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

Information

  • Creator
    Raza Habib
  • Years Active
    2K
  • Episodes
    15
  • Rating
    Clean
  • Copyright
    © 2024 Raza Habib

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