🐙 Lunch & Learn: Let's Try Out Meta Models (Llama 3.1 & SAM 2) | Tina Huang
Tina Huang20 Aug

🐙 Lunch & Learn: Let's Try Out Meta Models (Llama 3.1 & SAM 2) | Tina Huang

🐙 Lunch & Learn: Let's Try Out Meta Models (Llama 3.1 & SAM 2) ✉ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: đŸ€– AI Lunch & Learn series: https://www.lonelyoctopus.com/email-signup It's a FREE weekly 1hr livestream about AI & tech topics eg. How to build a GPT, how to build AI products, jobs in the era of AI etc. 🐙 Lonely Octopus: https://www.lonelyoctopus.com/ Check it out if you're interested in learning AI & data skill, then applying them to real company projects! đŸ€ Business Inquiries: https://tally.so/r/mRDV99 đŸ–±ïžLinks mentioned in video ======================== 🔗Affiliates ======================== My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training) Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina đŸŽ„ My filming setup ======================== đŸ“· camera: https://amzn.to/3LHbi7N đŸŽ€ mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk ⏰Timestamps ======================== 00:00 intro đŸ“ČSocials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX đŸŽ„Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmk How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s 🐈‍⬛🐈‍⬛About me ======================== Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------------------------- ----- Keywords: llm comparison, ai agents, ai development, self study, tech career, coding tips, vibe coding, tech tutorials Learn more about your ad choices. Visit megaphone.fm/adchoices

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🐙 Lunch & Learn: Let's Build An AI Assistant With GPT-4o (w/ Joe & Winston of @Posit) | Tina Huang

🐙 Lunch & Learn: Let's Build An AI Assistant With GPT-4o (w/ Joe & Winston of @Posit) | Tina Huang

🐙 Lunch & Learn: Let's Build An AI Assistant With GPT-4o (w/ Joe & Winston of @Posit) ----------------------------------------------------@Posit Channel - https://www.youtube.com/@UC3xfbCMLCw1Hh4dWo...

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Why You Can't Find A Job | Tina Huang

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Why You Can't Find A Job Check out this free resource that helps you use AI to optimize your job search: https://clickhubspot.com/dtx In this video I talk about why people aren't getting a job (no it...

20 Aug 24min

Why you should not work at FAANG/MANGA (Meta/Facebook, Amazon, Apple, Netflix, Google) | Tina Huang

Why you should not work at FAANG/MANGA (Meta/Facebook, Amazon, Apple, Netflix, Google) | Tina Huang

Why you should not work at FAANG/MANGA (Meta/Facebook, Amazon, Apple, Netflix, Google) I talk about my experience working in big tech (Meta/Facebook, Amazon, Apple, Netflix, Google) and the reasons ...

20 Aug 15min

Data Science vs Software Engineering Interview | 3 Key Differences | Tina Huang

Data Science vs Software Engineering Interview | 3 Key Differences | Tina Huang

Data Science vs Software Engineering Interview | 3 Key Differences Hi frends! In this video, I go through the 3 key differences between the data science vs software engineering interview. I also give...

20 Aug 9min

Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath | Tina Huang

Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath | Tina Huang

Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath Hi everyone, I'm so excited to share this video with anyone that is interested in MCIT at the University of Pennsylvan...

20 Aug 1h 5min

🐙 Lunch & Learn: Build and Deploy Python API Workshop | Tina Huang

🐙 Lunch & Learn: Build and Deploy Python API Workshop | Tina Huang

🐙 Lunch & Learn: Build and Deploy Python API Workshop A 1 hour lunch & learn workshop on Building and Deploying a Python APIKeith Galli https://www.youtube.com/kgmit A Boston-based computer scientis...

20 Aug 1h 24min

Why being a data scientist is awesome! | Tina Huang

Why being a data scientist is awesome! | Tina Huang

Why being a data scientist is awesome! In the last video, we talked about why you should not be a data scientist. If you still think that data science could be the right career path for you then this...

20 Aug 13min

I left Meta...and I'm lowkey freaking out đŸ„Č | Tina Huang

I left Meta...and I'm lowkey freaking out đŸ„Č | Tina Huang

I left Meta...and I'm lowkey freaking out đŸ„Č I refilmed this video 3 times and then sat on it because I'm absolutely terrified because then it's real real if that makes sense? Also, I'm really scared...

20 Aug 15min

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