Build Generative AI Applications With Open Source Tech (Guest: Tobias Zwingmann)

In this episode, Tobias Zwingmann (AI Advisor & Author) and Andreas Welsch discuss building Generative AI applications with Open Source technology. Tobias shares his examples on weighing proprietary against open source technology for large language models and provides valuable advice for listeners looking to decide whether to use commercially available LLMs or open models such as Llama 2.Key topics:- What types of use cases does Generative AI enable?- When should you use off the shelf vs open source LLMs?- What components do you need to set up, train, and use Open Source LLMs?- What are the downsides and risks of using Open Source components?Listen to the full episode to hear how you can:- Understand the four categories of Generative AI use cases- Evaluate when off the shelf is more advantageous vs open source- Consider total cost to operate an LLM- Determine the risk of skill shortages for cutting edge technologiesWatch this episode on YouTube:https://youtu.be/g9TNndkfdU0Questions or suggestions? Send me a Text Message. Support the show***********Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.Level up your AI Leadership game with the AI Leadership Handbook (https://www.aileadershiphandbook.com) and shape the next generation of AI-ready teams with The HUMAN Agentic AI Edge (https://www.humanagenticaiedge.com).More details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter