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Harpreet Sahota: Tinkering with AI, LLM Evaluations, DevRel & Personal Brand - AI Portfolio Podcast

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Manage episode 437345389 series 3596668
Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Harpreet brings a trove of knowledge and insights to the table. In this engaging conversation, we explore various facets of his expertise, from his role in developer relations to his deep understanding of Large Language Models (LLMs) and their evaluation. Harpreet provides invaluable insights into the intricacies of LLM evaluation, shedding light on methodologies, challenges, and best practices. His deep understanding of LLMs stems from years of hands-on experience and a commitment to pushing the boundaries of AI research and development.
📲 Harpreet Sahota Socials:
LinkedIn: https://www.linkedin.com/in/harpreetsahota204/?originalSubdomain=ca
Twitter: https://twitter.com/DataScienceHarp
📲 Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
📗Chapters
00:00 Intro
02:10 What problems DECI AI is solving?
04:42 DeciLM-7B
06:41 Supergradients YOLO-NAS
09:03 Deci Team
09:40 DeciLM-7B vs Mistral 7B
14:54 LLM Evaluation
21:41 Fine tuning 7B and 13B Models
24:16 Fine tuning in RAG
29:24 Deploying Gen AI in Workloads
31:59 Non Technical Executives
33:15 Harpreet's Career Journey
38:34 Developer Relations Position
41:37 Your personal brand is an investment
48:20 Finding your own vibe
53:12 Data Science in 2024
56:32 Podcasting
01:05:02 When to quit
01:11:45 Career Optimization Function
01:18:03 Harpreet's Obsession besides Gen AI
01:19:30 AI for Babies
01:21:26 Curiosity
01:24:08 Changing Jobs
01:28:32 Book Recommendations
01:30:21 Advice for High Schooler, College Student and Professionals
01:32:15 Fav Meals
01:33:15 Legacy to leave behind.

  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 437345389 series 3596668
Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Harpreet brings a trove of knowledge and insights to the table. In this engaging conversation, we explore various facets of his expertise, from his role in developer relations to his deep understanding of Large Language Models (LLMs) and their evaluation. Harpreet provides invaluable insights into the intricacies of LLM evaluation, shedding light on methodologies, challenges, and best practices. His deep understanding of LLMs stems from years of hands-on experience and a commitment to pushing the boundaries of AI research and development.
📲 Harpreet Sahota Socials:
LinkedIn: https://www.linkedin.com/in/harpreetsahota204/?originalSubdomain=ca
Twitter: https://twitter.com/DataScienceHarp
📲 Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
📗Chapters
00:00 Intro
02:10 What problems DECI AI is solving?
04:42 DeciLM-7B
06:41 Supergradients YOLO-NAS
09:03 Deci Team
09:40 DeciLM-7B vs Mistral 7B
14:54 LLM Evaluation
21:41 Fine tuning 7B and 13B Models
24:16 Fine tuning in RAG
29:24 Deploying Gen AI in Workloads
31:59 Non Technical Executives
33:15 Harpreet's Career Journey
38:34 Developer Relations Position
41:37 Your personal brand is an investment
48:20 Finding your own vibe
53:12 Data Science in 2024
56:32 Podcasting
01:05:02 When to quit
01:11:45 Career Optimization Function
01:18:03 Harpreet's Obsession besides Gen AI
01:19:30 AI for Babies
01:21:26 Curiosity
01:24:08 Changing Jobs
01:28:32 Book Recommendations
01:30:21 Advice for High Schooler, College Student and Professionals
01:32:15 Fav Meals
01:33:15 Legacy to leave behind.

  continue reading

22 episodes

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