#23: Get Your AI To Do What You Actually Want It To Do | Mark Hennings from Entry Point
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Join us as we explore Mark Hennings' entrepreneurial journey, from founding a successful Inc 500 company to pioneering in the AI space with Entry Point AI.
his episode delves into the intricate world of AI fine-tuning, contrasting traditional methods with Entry Point's innovative approach. Discover how Entry Point simplifies the process, enabling users to easily manage datasets, compare model performance, and generate synthetic examples, all while fostering collaboration among team members.
Mark's dedication to making AI more accessible and understandable through Entry Point AI is not just inspiring but a valuable resource for anyone looking to leverage AI in their business operations.
IN THIS EPISODE
- [00:00] Journey towards an Inc 500 company
- [11:06] Transition to Entry Point AI
- [14:55] What fine-tuning actually means
- [18:00] Strategically applying fine-tuning
- [20:44] Interesting use cases for AI
- [22:31] Traditional way vs Entry Point's approach
- [27:37] Keys that make the difference in AI fine-tuning
- [33:04] When prompting is the limit
- [36:40] Truths behind LoRA
- [43:19] Where to get started as a business with AI
- [45:40] Vision for the future of AI
- [50:35] How Mark is applying Entry Point to his other businesses
- [54:22] Missed business opportunities in AI
LINKS & RESOURCES
https://www.entrypointai.com
https://www.linkedin.com/in/markhennings/
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35 episodes