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Hamza Farooq: World of LLMs, AI, Career Tips - AI Portfolio Podcast

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Manage episode 437345396 series 3596668
Contenu fourni par Mark Moyou, PhD and Mark Moyou. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Mark Moyou, PhD and Mark Moyou ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this first episode you will learn why Hamza left Google as a Senior Research Manager to start a search startup given all the progress of large language models (LLM). He covers some core tenants you need to start building LLM-based systems. More importantly, in this fast-moving field, you learn how Hamza navigated his career and what you can do to make progress.

Hamza Farooq is the CEO/founder of traversaal.ai. Previously, he was a Sr. Research Science Manager at Google, a lecturer at Stanford, and an adjunct professor at the University of Minnesota. Hamza has worked at top companies such as Walmart Labs and Gallup and teaches a course on Maven called Building LLMs Applications from Scratch into Production.

📲 Hamza Farooq Socials:
LinkedIn: / hamzafarooq

📲 Mark Moyou, PhD Socials:
LinkedIn: / markmoyou
Twitter: / markmoyou

Startup (Traversaal.ai) - https://www.traversaal.ai/

📒 Chapters

00:00:00 Intro

00:03:01 - LLM Summer

00:04:06 - Falcon AI

00:07:27 - Language Modelling

00:08:33 - Distance Vs Metric Space Modeling

00:11:36 - Context Learning vs fine-tuning

00:14:38 - Benefit of larger LLM

00:17:41 - Lexical, Hybrid, or Neural Approach

00:21:41 - Natural preferences in LLM

00:24:52 - LLM in user reviews

00:27:34 - FOMO of AI

00:30:16 - AI Hype or Innovation

00:34:26 - Generative Models

00:35:40 - Open AI vs open-source models

00:38:36 - Open Source Models monetization

00:40:18 - Mistakes in LLM journey

00:41:53 - What is LLM

00:44:01 - LLM optimization

00:46:09 - NLP or LLM

00:47:35 - LLM consumption

00:49:04 - Models Hosting

00:51:17 - Education

00:53:33 - Open Source work

00:55:29 - ML system design

00:58:14 - Career

01:04:15 - Career Optimization function

01:08:24 - Advice for international students

01:11:06 - MBA and PhD

01:15:06 - Imposter Syndrome

01:16:44 - Perspectives for People in their home country

01:20:24 - Unfair Advantage

  continue reading

14 episodes

Artwork
iconPartager
 
Manage episode 437345396 series 3596668
Contenu fourni par Mark Moyou, PhD and Mark Moyou. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Mark Moyou, PhD and Mark Moyou ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this first episode you will learn why Hamza left Google as a Senior Research Manager to start a search startup given all the progress of large language models (LLM). He covers some core tenants you need to start building LLM-based systems. More importantly, in this fast-moving field, you learn how Hamza navigated his career and what you can do to make progress.

Hamza Farooq is the CEO/founder of traversaal.ai. Previously, he was a Sr. Research Science Manager at Google, a lecturer at Stanford, and an adjunct professor at the University of Minnesota. Hamza has worked at top companies such as Walmart Labs and Gallup and teaches a course on Maven called Building LLMs Applications from Scratch into Production.

📲 Hamza Farooq Socials:
LinkedIn: / hamzafarooq

📲 Mark Moyou, PhD Socials:
LinkedIn: / markmoyou
Twitter: / markmoyou

Startup (Traversaal.ai) - https://www.traversaal.ai/

📒 Chapters

00:00:00 Intro

00:03:01 - LLM Summer

00:04:06 - Falcon AI

00:07:27 - Language Modelling

00:08:33 - Distance Vs Metric Space Modeling

00:11:36 - Context Learning vs fine-tuning

00:14:38 - Benefit of larger LLM

00:17:41 - Lexical, Hybrid, or Neural Approach

00:21:41 - Natural preferences in LLM

00:24:52 - LLM in user reviews

00:27:34 - FOMO of AI

00:30:16 - AI Hype or Innovation

00:34:26 - Generative Models

00:35:40 - Open AI vs open-source models

00:38:36 - Open Source Models monetization

00:40:18 - Mistakes in LLM journey

00:41:53 - What is LLM

00:44:01 - LLM optimization

00:46:09 - NLP or LLM

00:47:35 - LLM consumption

00:49:04 - Models Hosting

00:51:17 - Education

00:53:33 - Open Source work

00:55:29 - ML system design

00:58:14 - Career

01:04:15 - Career Optimization function

01:08:24 - Advice for international students

01:11:06 - MBA and PhD

01:15:06 - Imposter Syndrome

01:16:44 - Perspectives for People in their home country

01:20:24 - Unfair Advantage

  continue reading

14 episodes

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