Presenting the "Bollywood Dance Hits (Video Jukebox)". Celebrating life through music, one track at a time. Ready to hit play on your next favorite dance? Let’s get moving!

Track List🔥🔥:
Teri Baaton Mein Aisa (Title Track) - 00:00
Give It All Away - Jaane Jaana - 02:27
Hauli Hauli - 05:24
Husn Irani - 08:10
Dil Chori - 11:07
Naacho Naacho - 13:59
O Saki Saki - 18:33
Suit - 21:43
Hookah Bar - 25:05
Galti Se Mistake - 27:46
Lungi Dance - 30:54
Arjan Vailly - 34:18
Baari Barsi - 37:45
Punjabi Munde - 40:50
Lutt Putt Gaya - 44:05

Download Song Beat: https://bit.ly/3Cjh24R

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Basically a full day AI course crammed into 18 mins of drawing & talking. Target audience: Everyone.
NEWS: Book is now available: https://leanpub.com/ainutshell
NEWS: Course is now available: https://www.ymnig.ai/courses/p....rompt-engineering-in

Covers questions like What is generative AI, how does it work, how do I use it, what are some of the risks & limitations. Also covers things like autonomous agents, the role of us humans, prompt engineering tips, AI-powered product development, origin of ChatGPT, different types of models, and some tips about mindset around this whole thing.

Here is the full drawing:
https://blog.crisp.se/wp-conte....nt/uploads/2024/01/g

Voice translations:
- Playlist with a bunch of AI voice translations: https://www.youtube.com/watch?v=ojLUcaqbLBM&list=PL-u8jDo3b1vnzUtiOfLliB2tbDLwVXiqb
- French: https://www.youtube.com/watch?v=AkPW3zWHA7w
- French: https://www.youtube.com/watch?v=nTFL-GzSrWo
- German: https://www.youtube.com/watch?v=Dgu5utapmk0
- Hindi: https://www.youtube.com/watch?v=gZdUcxqKCe4
- Kurdish (Sorani): https://www.youtube.com/watch?v=bvscuBrd3b0
- Ukrainian: https://www.youtube.com/watch?v=rUqIzty9hkM
- Urdu: https://www.youtube.com/watch?v=VFy6mvcOXoc

Would you like to make a voice translation? ElevenLabs can do really voice translation which even sounds like me :)
You can also do a manual dub with your own voice if you prefer. Whatever works best.
1. Check out https://elevenlabs.io/docs/dubbing/studio
2. Make the video & upload it to youtube or somewhere.
3. Make sure the description shows that this is an AI translation, and include a link to the original video.
4. Send a link to me (for example via a comment) and I'll add it above.

You can decide if you want to host it on your youtube channel or if I should host it.

If you have practical questions you can ask Stefan Kirschnick, he made the German dub and is happy to provide support. https://www.linkedin.com/in/stefankirschnick/

In this live session we'll read and discuss two papers:
The illusion of thinking - by Apple
The illusion of the illusion of thinking - by Anthropic
Come join for a fun chat!

My AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=177

Understanding AI Agents doesn't require a technical background. This video breaks down the evolution from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents through practical, real-world examples.

Learn the key differences between these technologies and discover how concepts like RAG and ReAct actually work in simple terms. Perfect for regular AI users who want to understand how these emerging technologies will impact their daily lives.

*TIMESTAMPS*
00:00 AI vs. AI Agents
01:04 Level 1: LLMs
02:17 Level 2: AI Workflows
05:26 Level 3: AI Agents
07:48 Real-world Example
09:10 Summary

*RESOURCES MENTIONED*
Helena Liu's AI Workflow Tutorial: https://youtu.be/H0YRniHh2tg
Andrew Ng's AI Agent Demo: https://youtu.be/KrRD7r7y7NY

*BE MY FRIEND:*
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*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
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*MY TOP 3 FAVORITE SOFTWARE*
❎ CleanShot X - https://geni.us/cleanshotx
✍️ Skillshare - https://geni.us/skillshare-jeff
💼 Teal - http://tealhq.co/jeffsu

#aiagents

🧠 Dive into the world of Agentic AI, where AI systems act autonomously to achieve goals without human guidance. From personal assistants to autonomous vehicles, agentic AI is redefining sectors with its ability to learn, adapt, and operate independently. However, this new frontier raises ethical questions about accountability and transparency. Learn more about its growing impact!

#AgenticAI #AutonomousAI #AIInnovation #TechEthics #FutureOfAI

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Continues discussion of natural language processing with a focus on embeddings, including stand-alone and contextual embeddings.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The lecture introduces linear algebra with a focus on its applications in quantitative finance, covering vector and matrix fundamentals, portfolio valuation, and concepts like short selling, arbitrage, and contingent claims. It further explores stochastic matrices and Markov chains, eigenvalues and eigenvectors, and their roles in modeling financial markets, culminating in discussions on no-arbitrage conditions, market completeness, and pricing measures essential for option pricing theory.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

In this video we go through how to implement a dynamic algorithm for solving the sequence alignment or edit distance problem. This is also referred to as the Needleman Wunsch algorithm, it seems as if this algorithm has quite many names :)

Code repository:

https://github.com/AladdinPerz....on/Algorithms-Collec

I recommend watching the explanation video before watching this implementation:

https://youtu.be/bQ7kRW6zo9Y