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<video:title><![CDATA[🌌 DeepSeek vs ChatGPT | The Battle of AI Giants]]></video:title>
<video:description><![CDATA[Description:

In this video, we dive deep into a comparison between DeepSeek and ChatGPT, exploring how these two leading AI models perform in language understanding, generation capabilities, efficiency, and application scenarios. DeepSeek is known for its open-source nature, high efficiency, and cost-effectiveness, while ChatGPT excels in its powerful conversational abilities and wide-ranging applications. Which AI will emerge victorious in the world of artificial intelligence? Let&rsquo;s find out!

🔍 Key Highlights:

A technical comparison of DeepSeek and ChatGPT
Their performance in language generation, logical reasoning, and coding abilities
Which AI is better suited for your needs? Application analysis
📢 Watch now to get an in-depth look at this AI showdown!
👍 Don&rsquo;t forget to like and share this video to help others learn about the advancements in AI!
🔔 Subscribe to our channel for more insights into the latest trends in AI technology!
💬 Share your thoughts in the comments below. Which AI do you think is more powerful?

🌟 Contact Us:
📧 Email: vantaktv@gmail.com
🌐 Website: https://www.vantak.tv

Let&rsquo;s explore the future of AI technology together and witness the evolution of artificial intelligence!]]></video:description>
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<video:title><![CDATA[Understanding The DeepSeek Moment and What's Next for AI]]></video:title>
<video:description><![CDATA[The world is going crazy about deep seek. Here is what you actually need to know about this as a consumer and what I think matters even more.

Links:
https://chat.deepseek.com/
https://github.com/deepseek-ai/DeepSeek-R1

Chapters:
0:00 DeepSeek Moment
2:06 What&#039;s Happening
5:08 What You Need To Know
11:24 Why US Companies Are Scared
16:12 DeepSeek vs o1
18:50 What&#039;s Next!


#deepseekv3

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<video:title><![CDATA[China's DeepSeek: AI Breakthrough Amidst US Curbs]]></video:title>
<video:description><![CDATA[Explore the groundbreaking advancements of China&#039;s DeepSeek in this insightful video as we dive into the world of artificial intelligence amidst US trade restrictions. Witness how this innovative tech company is pushing boundaries, showcasing its capabilities and resilience in the face of challenges. With expert narration and clear subtitles, you&#039;ll grasp the evolution of AI technology and its implications on global markets. 

Join us as we uncover the future of AI in China and what it means for the tech landscape worldwide. Don&#039;t forget to like and share this video if you find it informative!

#DeepSeek #AI #ChinaTech #USTradeCurbs #Innovation #TechnologyTrends #ArtificialIntelligence

OUTLINE: 

00:00:00 A New AI Powerhouse Emerges
00:01:12 A Closer Look
00:02:25 A Testament to Chinese Ingenuity
00:03:33 The Role of Government Support in DeepSeek&#039;s Success
00:04:33 The Visionary Behind DeepSeek
00:05:36 A Wave of National Pride and Global Interest
00:06:39 Early Feedback and Future Expectations
00:07:41 DeepSeek&#039;s Role in a Shifting Landscape
00:08:36 DeepSeek&#039;s Legacy and the Future of AI]]></video:description>
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<video:title><![CDATA[DeepSeek, TikTok, Temu: How China is taking the lead in tech - BBC World Service]]></video:title>
<video:description><![CDATA[DeepSeek, TikTok, CapCut, Shein, Temu, BYD, DJI, Huawei - Chinese technology is everywhere and in many areas the country is challenging the former high-tech powerhouses.

Click here to subscribe to our channel 👉🏽 https://bbc.in/3VyyriM

It&rsquo;s all down to an ambitious plan China set out 10 years ago. The Made in China 2025 project vowed to turn China from the world&rsquo;s factory to the world&rsquo;s innovator. 

And according to experts &ndash; they have largely succeeded. So how did they do it and what does it mean for the rest of the world and the future of technology dominance? Our Cyber Correspondent, Joe Tidy, explains.
 
00:00 Introduction
01:18 Made in China 2025 
04:07 Sanctions
05:35 Reactions

Check out more videos on AI &amp; Technology, here  👉🏽  https://www.youtube.com/playlist?list=PLz_B0PFGIn4e0fyBwDLpcmhlvfBn6H0Qx

Find more of the best BBC World Service documentaries you can watch in less than 30 minutes here ➡️ https://www.youtube.com/playlist?list=PLz_B0PFGIn4cI2qSy69-3UkgBWaXGHRrx 

----------------
This is the official BBC World Service YouTube channel. 
If you like what we do, you can also find us here:
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Thanks for watching and subscribing!
#BBCWorldService #WorldService #deepseek #china #chinatechnology]]></video:description>
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<video:title><![CDATA[How to install TensorFlow in Python on Windows for Beginners]]></video:title>
<video:description><![CDATA[Tutorial on Installing TensorFlow and Keras in Python on Windows.
TensorFlow Keras is a high level API of Tensorflow that uses TensorFlow as in the backend.


⭐ Support the Channel: https://www.youtube.com/channel/UCau7fBZr_fSNb4CzbGWA1Rw/join



==================================
Deep Learning with TensorFlow and Keras Playlist
==================================
https://youtube.com/playlist?list=PLGZqdNxqKzfYb1uVfpI4KiWKfE4Qsk-yG



#tensorflow #keras #deep_learning]]></video:description>
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<video:title><![CDATA[All Machine Learning algorithms explained in 17 min]]></video:title>
<video:description><![CDATA[All Machine Learning algorithms intuitively explained in 17 min

#########################################
I just started my own Patreon, in case you want to support!
Patreon Link: https://www.patreon.com/c/InfiniteCodes
#########################################

In this video I will go through all machine learning algorithms in less than 17 minutes to get you an intuitive understanding of how they work and how they relate to each other as well as help you decide how to pick the right one for your problem. Going all the way from Linear Regression to Neural Networks / Deep Learning and Unsupervised Learning.

Also Watch: 
How to Learn Machine Learning in 2024 (7 step roadmap) https://youtu.be/jwTaBztqTZ0
The Math Skills that make Machine Learning easy (and how you can learn it) https://youtu.be/wOTFGRSUQ6Q

#########
Chapters:

00:00 - Intro: What is Machine Learning?
00:59 - Supervised Learning
01:37 - Unsupervised Learning
02:20 - Linear Regression
04:04 - Logistic Regression
04:53 - K Nearest Neighbors (KNN)
06:10 - Support Vector Machine (SVM)
07:51 - Naive Bayes Classifier
08:37 - Decision Trees
09:11 - Ensemble Algorithms
09:24 - Bagging &amp; Random Forests
09:53 - Boosting &amp; Strong Learners
10:26 - Neural Networks / Deep Learning
12:42 - Unsupervised Learning (again)
12:57 - Clustering / K-means
14:35 - Dimensionality Reduction
15:15 - Principal Component Analysis (PCA)]]></video:description>
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<video:description><![CDATA[We are data scientists 👩&zwj;💻 what did we miss? 

Follow @sundaskhalidd for more tech content ✨

Tags  🏷️ #datascientist #datascience #sql #python  #programming #lifeatgoogle #techblogger #bigtech]]></video:description>
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<video:title><![CDATA[Learn Computer Vision in 30 Days | 30 Days coding challenge]]></video:title>
<video:description><![CDATA[🎬  Timestamps ⏱️

0:00 Intro
0:43 Day 1
1:05 Day 2
1:32 Day 3
1:56 Day 4
2:20 Day 5
2:45 Day 6
3:13 Day 7
3:34 Day 8
4:00 Day 9
4:27 Day 10
4:57 Day 11
5:23 Day 12
5:51 Day 13
6:14 Day 14
6:39 Day 15
6:59 Day 16
7:20 Day 17
7:42 Day 18
8:06 Day 19
8:29 Day 20
8:51 Day 21
9:16 Day 22
9:38 Day 23
10:00 Day 24
10:19 Day 25
10:39 Day 26
11:01 Day 27
11:24 Day 28
11:48 Day 29
12:09 Day 30
12:52 Let&#039;s play a game!

🌍 Community 👥
 
Access the full course here: https://www.patreon.com/posts/146374547 😃🙌😊]]></video:description>
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<video:title><![CDATA[Natural Language Processing (NLP) Full Course | Learn NLP in Deep Learning Tutorial]]></video:title>
<video:description><![CDATA[Natural Language Processing (NLP) Full Course | Learn NLP in Deep Learning Tutorial

🔴 To learn Data Science Course online with regular LIVE CLASSES, enroll now: https://wscubetech.com/data-science-course?utm_source=YouTube&amp;utm_medium=March2024_24&amp;utm_campaign=Random_Video

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WsCube Tech stands out as a leading EdTech platform, offering comprehensive education in Python, Machine Learning, and various Data Science skills. Our approach involves both online and classroom training, featuring hands-on projects delivered practically by seasoned industry experts.

With WsCube Tech, you&#039;ll gain hands-on skills that make you globally competitive. Our courses are designed to prepare over 100 million career aspirants for the &#039;Bharat&#039; of the future. 😊

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Timestamps:
00:00:00 - NLP Course Introduction  
00:01:53 - What is Natural Language Processing?
00:21:30 - What is the NLP Pipeline?
00:33:23 - How can we understand Textual Data?
00:46:33 - What are Text Pre-processing Techniques?
00:54:23 - What is Tokenization?
01:05:10 - What is Stop Words Removal?
01:17:01 - What are Stemming &amp; Lemmatization?
01:26:23 - What is n-gram?
01:41:35 - How does Count Vectorizer work?&quot; 
01:51:17 - What is Word Sense Disambiguation?

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For any queries, call us on: +91]]></video:description>
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<video:title><![CDATA[Say Hello to the New QNX]]></video:title>
<video:description><![CDATA[Powering progress with precision-engineered performance, providing a trusted foundation for software-defined businesses to thrive.

Say hello to the new QNX - It all starts here.

Start your journey at QNX.com]]></video:description>
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<video:title><![CDATA[MIT Introduction to Deep Learning (2024) | 6.S191]]></video:title>
<video:description><![CDATA[MIT Introduction to Deep Learning 6.S191: Lecture 1
* 2024 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

For all lectures, slides, and lab materials: http://introtodeeplearning.com/

Lecture Outline
0:00​ - Introduction
7:25​ - Course information
13:37​ - Why deep learning?
17:20​ - The perceptron
24:30​ - Perceptron example
31;16​ - From perceptrons to neural networks
37:51​ - Applying neural networks 
41:12​ - Loss functions
44:22​ - Training and gradient descent
49:52​ - Backpropagation
54:57​ - Setting the learning rate
58:54​ - Batched gradient descent
1:02:28​ - Regularization: dropout and early stopping
1:08:47 - Summary

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!]]></video:description>
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<video:description><![CDATA[The First Neural Networks]]></video:description>
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<video:title><![CDATA[What Is an AI Anyway? | Mustafa Suleyman | TED]]></video:title>
<video:description><![CDATA[When it comes to artificial intelligence, what are we actually creating? Even those closest to its development are struggling to describe exactly where things are headed, says Microsoft AI CEO Mustafa Suleyman, one of the primary architects of the AI models many of us use today. He offers an honest and compelling new vision for the future of AI, proposing an unignorable metaphor &mdash; a new digital species &mdash; to focus attention on this extraordinary moment. (Followed by a Q&amp;A with head of TED Chris Anderson)

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership

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The TED Talks channel features talks, performances and original series from the world&#039;s leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design &mdash; plus science, business, global issues, the arts and more. Visit https://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more.

Watch more: https://go.ted.com/mustafasuleyman

https://youtu.be/KKNCiRWd_j0

TED&#039;s videos may be used for non-commercial purposes under a Creative Commons License, Attribution&ndash;Non Commercial&ndash;No Derivatives (or the CC BY &ndash; NC &ndash; ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com

#TED #TEDTalks #ai]]></video:description>
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<video:title><![CDATA[How does Groq LPU work? (w/ Head of Silicon Igor Arsovski!)]]></video:title>
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I invited head of silicon at Groq, Igor Arsovski, to share the nitty-gritty details behind Groq&#039;s LPUs! LPU or language processing units showed promising results (understatement of the year) on inference benchmarks compared to NVIDIA GPUs.

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⌚️ Timetable: 
00:00:00 - 00:00:42 Intro
00:00:42 - 00:02:23 Hyperstack GPU cloud (sponsored)
00:02:23 - 00:12:18 What does Groq do?
00:12:18 - 00:26:40 Hardware
00:26:40 - 00:37:52 Software
00:37:52 - 00:45:09 Power control
00:45:09 - 00:54:22 Networking
00:54:22 - 00:59:30 AllReduce comparison between GPUs and LPUs
00:59:30 - 01:04:10 GPU vs LPU
01:04:10 - 01:11:45 Outro

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💰 SPONSOR

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Huge thank you to these AI Epiphany patreons:
Eli Mahler
Petar Veličković

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#groq #lpu #aichip #ai]]></video:description>
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