Our guest today is Harpreet Sahota, Deep Learning Developer Relations Manager at Deci AI.

In our conversation, we first talk about Harpreet’s work as a Biostatistician and dive into A/B testing. We then talk about Deci AI and Neural Architecture Search (NAS): the algorithm used to build powerful deep learning models like YOLO-NAS. We finally dive into GenAI where Harpreet shares 7 prompting tips and explains how Retrieval Augmented Generation (RAG) works.

If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.

Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7kraba

Follow Harpreet on LinkedIn: https://www.linkedin.com/in/harpreetsahota204/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

---
(00:00) - Intro

(02:34) - Harpreet's Journey into Data Science

(07:00) - A/B Testing

(17:50) - DevRel at Deci AI

(26:25) - Deci AI: Products and Services

(32:22) - Neural Architecture Search (NAS)

(36:58) - GenAI

(39:53) - Tools for Playing with LLMs

(42:56) - Mastering Prompt Engineering

(46:35) - Retrieval Augmented Generation (RAG)

(54:12) - Career Advice

Random Offense: Ryan Glasspiegel