best songs of the decade 2010-2019 #2 ~nostalgia vibes mix ~2010s summer roadtrip

Help me to get 100.000 subs: https://www.youtube.com/channe....l/UCBepjMYiqtq_u4ZFO

you are on a roadtrip summer night while listening to these nostalgic songs by Flo Rida, Pitbull, Ke$ha, Carly Rae Jepsen, Taylor Swift, Katy Perry, Miley Cyrus, Avicii, Adele, Ellie Goulding and many more!

All of the tracks used in my youtube playlists are copyrighted music, so if you see ads in my videos, it's because youtube places them automatically based on copyright-owners needs, I have no control over it, so sorry about that. My channel is NOT a monetized channel. My only goal is sharing nostalgic, road trip music for everyone!

Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 3 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Recap of the SLM architecture
2. 18:30 Calculating the SLM Loss
3. 58:27 SLM Pre-training loop: Theory + Coding
4. 01:23:00 SLM Inference

If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-

In this comprehensive hands-on workshop, Jon Krohn and Ed Donner introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK. From design considerations through to practical implementation tips, by completing all four modules in this video, you will have all the knowledge and skills needed to develop and deploy your own multi-agent teams.

The four modules are:
1. Defining Agents (with OpenAI Agents SDK)
2. Designing Agents (with CrewAI)
3. Deploying Agents (with MCP)
4. The Future of Agents

The accompanying slides and code are available in GitHub: github.com/ed-donner/action

Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010.

Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford.

This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

Two bonus goodies below:

Follow this link to get Ed's 17-hour "Complete Agentic AI Engineering Course" on Udemy at a discounted rate (as well as coupon links to all of his Udemy courses): https://edwarddonner.com/2025/....05/28/connecting-my-

Use this link to skip the waitlist for Lightning AI Studios and get 15 free GPU-compute credits every month: https://lightning.ai/?inviteCo....de=Agentic-AI-worksh

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⚠ Note : To view at 8K 60P you will need to use Google Chrome & Opera Browser. YouTube supports up to 8K 60fps.

》This 12K HDR Demo video is make for Entertainment and Educational purposes.

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More HDR Video: https://youtu.be/96j2q9_P_1Q
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A video on how to undervolt which is especially useful for deep learning with multiple gpu setup/gaming/mining. Although since it's going to lower temps substantially I recommend it in general just for card longevity.

MSI Afterburner:
https://www.msi.com/page/afterburner

Unigine benchmark:
https://benchmark.unigine.com/

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
Github - https://github.com/aladdinpersson

Timestamps:
0:00 - Introduction
0:15 - Why you should undervolt
1:57 - Undervolt vs Underclock
3:03 - Undervolting Guide
12:00 - Comparison & Improvements
12:38 - Ending

#ZeroToDeployment

Building awesome apps from scratch completely open source.
Download on Playstore: https://play.google.com/store/....apps/details?id=com.

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

👋 CONNECT WITH ME:
Twitter ► https://twitter.com/aladdinperzon
LinkedIn ► https://www.linkedin.com/in/al....addin-persson-a95384
GitHub ► https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

TensorFlow Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

This is my solution to predict.m function in Programming assignment 3 from the famous Machine Learning course by Andrew Ng.

Github: https://github.com/AladdinPerz....on/Courses/tree/mast

#intel#nvidia#tiranrtx
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