Помощь проекту: https://vertdider.tv/to-support-us/

Можно ли одной рукой поднять над головой гриф с диском весом 20 кг на конце? Если вы невероятно сильный, то можно. А если вы Дерек Маллер, то этот диск придется сначала очень быстро раскрутить.

Ответ: https://youtu.be/FasivFKE0Tc
Гироскопическая прецессия: https://youtu.be/uMQ85tOPSO4

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/GeyDf4ooPdo

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This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

0:00:00 Introduction to Gen AI Full Course 2025
0:00:45 What is Gen AI
0:11:24 Roadmap Gen AI
0:20:31 Top 10 AI Technologies
0:44:37 Deepseek r1
0:51:36 Deep Learning
0:59:53 Search GPT
1:02:08 Langchain
1:58:43 Generative Adversarial Tutorial
2:08:05 What are Gans
2:09:06 Transformers in AI
2:21:35 LSTM
2:22:59 Introduction to LLM
3:24:12 What is Machine Learning
4:20:44 Machine Learning Tutorial
6:26:07 Reinforcement Learning
6:45:58 CHatgpt analyse
6:56:54 Openai sora
7:05:47 LLM Benchmarkeing
7:56:30 Hugging Face and its tutorial
8:11:54 Open ai chatgpt o1 model
8:17:03 Gen ai tools for job interview
8:54:05 Agentic AI
9:11:10 Money with ai agents
9:19:33 Google Quantam AI
9:31:36 Machine Learning Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

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#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
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✅ Program Induction
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✅ Python for Data Science (IBM)
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✅ Deep Learning with TensorFlow (IBM)
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✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning

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✅ Submit your Claude Code app to the App Store: https://mikeyno-code.com/Skool-claude

✅ All used prompts + the FULL AI App Building Course are available in the Skool community

In this video, I break down the exact Claude Code tutorial process I use to help beginners build apps with AI in 2026 using my step-by-step method. You'll learn how to use Claude Code effectively, set up Claude Code in VSCode, and understand the key differences between Claude Code vs Cursor so you can choose the right AI coding assistant. I'll also cover Claude Code MCP integration and show you the complete Claude Code setup process, making this the perfect Claude Code for beginners guide that gives you everything you need to start building AI-powered applications from scratch.

00:00 - Intro: Building a Math Helper App
01:58 - Step 1: Installing Claude Code in VS Code
03:43 - Step 2: Testing with a Basic Web App
08:35 - Step 3: Generating the React Native Front End
09:57 - Step 4: Building the Camera & Upload Widget
13:00 - Step 5: Integrating OpenAI for Math Logic
15:48 - Step 6: Creating the "Saved Questions" Section
17:13 - Step 7: Adding the Learn & Quiz Sections
19:50 - Full App Walkthrough

Join my exclusive newsletter: https://mikeyno-code.com/newsletter

📩 For inquiries: Mikey (at) ytmedia.group

Whatever your current skill level, this course will help you become an AI power user.

Learn to:

Find information: Get accurate, well-sourced answers using AI web search and deep research modes.

Brainstorm & Write: Use AI as a thought partner to get honest feedback and write natural-sounding text.

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Taught by AI pioneer Andrew Ng, you’ll learn how to effectively use modern AI for the main things people use it for: finding information, brainstorming and writing, and working with multimedia and code.

If you want to get certified and access to course labs and quizzes, enroll here: https://bit.ly/4wFmOZl

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🌿Follow Deep Disco Records
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00:00:00 | 1. Sun Goes Down-Robin Schulz
00:02:24 | 2. Dj Dark & Mentol - Supergirl (feat Georgia Alexandra)
00:05:57 | 3. Austin Mahone - What About Love (Suprafive Remix)
00:09:40 | 4. All Night - Paul Lock
https://youtu.be/L8JYdG4G9y8?si=I6le7aYLQ9Inapbq
00:15:11 | 5. Forget You - Paul Lock
https://youtu.be/_vCUb0v1m8A?si=lVb-PNW9JpJhW6EH
00:20:24 | 6. All I Want (Marc Philippe Remix) - Paul Lock
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00:29:45 | 8. Keep Loving You - Paul Lock, Tommy , Pete Bellis
https://youtu.be/DFZQhJwbc1E?si=HCGsNdSnWIqqN-2J
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00:53:47 | 13. Break Away - Costa Mee
https://youtu.be/qBN05pOS82w?si=LBG5NVK5Gyei4EE8
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01:03:54 | 15. I'll Be OK - Millios
https://youtu.be/7bGlbtfyulY?si=-5iw8_dIredHD1AX
01:07:11 | 16. Left Me In The Rain - Pete Bellis & Tommy, Costa Mee
https://youtu.be/qJ0-Bpn_ZzQ?si=6Zi241uw8_FN-ZKL

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♦ If any manufacturer, record label, artist or photographer has trouble uploading music or videos, please contact us and we will delete your work immediately. Thanks! ♦ We try to find the best and most interesting song for you! We hope to make your day more beautiful with the music we share! Peace, love and music. I am also a music producer, I am working on this project!


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This is the first of a series of two videos on AI Agents.
In here, we talk about the strengths and weaknesses of LLMs, focusing on a specific example: Why are LLMs unable to tell good jokes, yet they can write such good poems?
This sets the tone for the next video on AI Agents.

Second video - Agents, Reasoning Models, and RAG: https://www.youtube.com/watch?v=xXL0gMo9Lso

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

In this webinar, you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns, such as reflection, planning, tool usage, and iterative LM usage.

This online session will cover:
Overview of LMs
LM Usage and limitations
Retrieval Augmented Generation (RAG)
Tool usage
Agentic LMs
Agentic design patterns

About the speaker: Insop Song

Insop is a Principal Machine Learning Researcher at GitHub Next. Previously he worked at Microsoft, where he focused on leveraging machine learning and large language models to boost engineering productivity. His projects included fine-tuning open-source large language models with internal code and text, developing document assistance tools, and applying AI to various engineering tasks. He is currently a course developer as well as a course facilitator for Stanford Online’s professional AI program.


Chapters:
00:00 - Introduction
00:10 - Overview of the Talk
01:50 - Training Language Models
02:30 - Modeling Objectives
04:00 - Examples of Training Data Formatting
05:40 - Applications of Language Models
06:50 - Using API for Language Models
09:00 - Best Practices for Prompt Preparation
11:10 - Importance of Clear Instructions
13:40 - Reflection and Improvement Techniques
16:30 - Tool Usage and Function Calling
20:30 - Definition of Agentic Language Models
21:50 - Reasoning and Action in Agentic Models
24:00 - Example of a Customer Support AI Agent
29:20 - Summary of Applications
36:00 - Key Design Patterns in Agentic Models
44:00 - Summary of Agentic Language Model Usage
47:40 - Audience Q&A
50:00 - Addressing Ethical Considerations
54:50 - Getting Started with Language Models
57:00 - Resources for Staying Updated
58:20 - Closing Remarks

Read the full list of tips: http://builder.io/blog/claude-code

In this beautiful video we will take a tour around the world with relaxing music sleep and relaxing piano music for stress relief.
The most beautiful places in the world:
Who has not ever dreamed of traveling the world visiting the most beautiful places in the planet? That dream can be possible. We have selected the most beautiful places in the world so that you can start planning your next trip.
In this 8K video you will find the world in a great video with piano music and relaxing nature sounds.

Follow me:
►YouTube: https://www.youtube.com/channe....l/UC8D_NXFBh8A9KSwo7
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A good model follows the “Goldilocks” principle in terms of data fitting. Models that underfit data will have poor accuracy, while models that overfit data will fail to generalize. A model that is “just right” will avoid these important problems.

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Suppose you are trying to classify big cats based on features such as claw size, sex, body dimensions, bite strength, color, speed, and the presence of a mane. Due to various deficiencies in the training process and data set, the resultant model may fail to fully differentiate the various types of cats. For example, a rule-based model may predict that any cat with a mane that roars is a lion, while ignoring that if such a cat is female, it is technically referred to as a lioness. Since this model does not take all necessary features into account while performing classification, it is said to underfit the data. The problem of underfitting is solved by adding more detail to the model to ensure that it properly captures the differences between classes.

On the other hand, a model may also consider every possible detail and develop very specific, complex rules for classification. For example, if one data point represents a lion that is 3.5 feet tall, weighs 305 pounds, and has 2.9-inch claws, the model may develop a rule that classifies every 3.5 foot tall, 305 pound cat with 2.9-inch claws as a lion. Such rules will accurately classify the training data, but will poorly generalize to new data samples. A model that develops these kinds of rules is said to overfit the data. In other words, the model has failed to identify the true patterns that differentiate the classes. As a separate example, if the data only contained tigers that grew up in a zoo, the model may have difficulty classifying tigers that grew up in the wild. So while improving the process of data collection is helpful to prevent this problem, the model must be designed to identify the most important patterns that identify a class, so that new samples can be properly classified.

With regards to neural networks, overfitting typically stems from too many input features, or the use of an overly-complicated network configuration. If the input count is too large, the training process may start to assign weights to features that either aren't needed or add unnecessary complexity to the model. An overly-complicated configuration may lead to the development of specific rules that improperly relate many different features, resulting in poor generalization.

Overfitting is a common problem in data science. One popular method to reduce overfitting is the use of a cross-validation data set along with parameter averaging. For neural networks, a common method is regularization. There are different types such as L1 and L2, but each of these follows the same principle – penalize the model for letting weights and biases become too large. Another method is Max Norm constraints, which directly adds a size limit to the weights and biases. A different approach is dropout, which randomly switches off certain neurons in the network, preventing the model from becoming too dependent on a set of neurons and the associated weights and biases. While these methods are broadly applied across the model rather than used for systematically searching for problem patterns, they have been proven to reduce and sometimes prevent the problem of overfitting.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

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In this video on "HTML CSS Full Course 2023," we will start this full course from basics to advance. This comprehensive HTML CSS full course will equip you with the essential knowledge and skills to become a proficient web developer. Whether you're a beginner or looking to refresh your HTML and CSS skills, this course provides a solid foundation. We will start this full course with an introduction to html and css. We will also learn tags, elements, images, tables, classes, and many more. Then we will move to CSS, in which we will be covering css from basics to advance topics like CSS grid layout and flexbox, box model, and many more. We will end this full course with an HTML and CSS job application form.

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00:06:55 - What is HTML?
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04:02:25 - CSS box model
04:42:56 - Flexbox vs Css Grid
06:34:52 - HTML Interview Questions


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This Caltech Coding Bootcamp will help you master both front-end and back-end Java technologies, starting with the basics and progressing to the advanced aspects of Full Stack Web Development. In this Online Coding boot camp, you will learn Angular, Spring Boot, web services, JSPs, and MongoDB to help you launch your career as a full-stack developer.

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- At least 18 years and have a High School Diploma or equivalent
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Large Language Models like ChatGPT have remarkable abilities to generate content based on training data but do they have actual intelligence? Find out more about how LLM's and Chatbots work as we explore this question.

Featuring:
Mira Murati the CTO of OpenAI
Cristóbal Valenzuela the creator of Runway

Presented by: Code.org, ETS, ISTE, Khan Academy

Start learning today!
https://code.org/ai/how-ai-works

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Help make our work possible with a donation at http://code.org/donate!

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive language.

Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ?si=rkrOziDj4y_dQo4-
AI bootcamp with HR assistant agentic system: https://codebasics.io/bootcamp....s/ai-data-science-bo

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In this video, I break down a complete AI automation full course for beginners in 2026, explaining what is AI automation and how it works. You’ll learn the fundamentals in this practical AI automation tutorial, including how AI agents fit into modern automation workflows and exactly how to get started with AI automation. Whether you're looking for a step-by-step AI automation guide or want to master AI automation for beginners, this covers everything you need to get started.

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Incredible NEW Generative Fill Artificial Intelligence technology in Photoshop totally changes editing for the BETTER both Practically and Creatively!

😊 𝐉𝐨𝐢𝐧 𝐦𝐲 𝐄𝐦𝐚𝐢𝐥 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲
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𝐏𝐢𝐗𝐢𝐦𝐩𝐞𝐫𝐟𝐞𝐜𝐭 (𝐔𝐧𝐦𝐞𝐬𝐡) 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 https://youtu.be/B1XgVyumLpY

🎬 𝐂𝐎𝐍𝐓𝐄𝐍𝐓𝐒 𝐎𝐅 𝐓𝐇𝐈𝐒 𝐕𝐈𝐃𝐄𝐎
00:00 - Introduction
01:07 - Changing the Composition
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05:10 - Repairing a Damaged Photograph
06:33 - 7 Kings Must Die
07:00 - Adding a New Mouth
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🖥 𝐓𝐡𝐞 𝐁𝐞𝐧𝐐 𝐃𝐢𝐬𝐩𝐥𝐚𝐲𝐬 𝐈 𝐮𝐬𝐞 𝐟𝐨𝐫 𝐞𝐝𝐢𝐭𝐢𝐧𝐠 𝐩𝐡𝐨𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐬 ... 𝐒𝐖𝟑𝟐𝟏𝐂
🖥 𝐓𝐡𝐞 𝐁𝐞𝐧𝐐 𝐃𝐢𝐬𝐩𝐥𝐚𝐲𝐬 𝐈 𝐮𝐬𝐞 𝐟𝐨𝐫 𝐞𝐝𝐢𝐭𝐢𝐧𝐠 𝐯𝐢𝐝𝐞𝐨 ... 𝐏𝐃𝟑𝟒𝟐𝟎𝐐
https://glyndewis.com/gear

𝐀𝐬 𝐚𝐧 𝐀𝐐𝐂𝐨𝐥𝐨𝐫 𝐀𝐦𝐛𝐚𝐬𝐬𝐚𝐝𝐨𝐫 𝐈 𝐝𝐨 𝐡𝐚𝐯𝐞 𝐭𝐡𝐞 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐩𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐨𝐟 𝐚𝐧 𝐒𝐖 𝐨𝐫 𝐏𝐃 𝐝𝐢𝐬𝐩𝐥𝐚𝐲. 𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐬𝐞𝐧𝐝 𝐦𝐞 𝐚 𝐝𝐢𝐫𝐞𝐜𝐭 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐨𝐫 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐦𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐦𝐲 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐢𝐟 𝐲𝐨𝐮❜𝐝 𝐥𝐢𝐤𝐞 𝐭𝐨 𝐤𝐧𝐨𝐰 𝐦𝐨𝐫𝐞.

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https://bit.ly/3ddtZno

𝐉𝐨𝐢𝐧 𝐦𝐞 𝐨𝐧 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 / 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤 𝐚𝐧𝐝 𝐓𝐰𝐢𝐭𝐭𝐞𝐫: @𝐠𝐥𝐲𝐧𝐝𝐞𝐰𝐢𝐬

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Unlock the secrets to rapid skill acquisition with our latest YouTube guide How To USE CHATGPT To LEARN Any SKILL You Want Quickly. Learn the smart strategies and ChatGPT prompts that can turbocharge your learning journey. Whether you're aiming to master a new language, pick up coding, or delve into the arts, this video is your roadmap to success. We'll walk you through creating a personalized learning plan with ChatGPT, leveraging its AI power to simplify complex concepts, and effectively practice for real-world proficiency. No more guesswork - just focused, accelerated learning with the power of prompts. Our step-by-step tutorial ensures that your learning process is efficient, enjoyable, and effective

00:00 How To Use ChatGPT To Learn Any Skill
03:36 Mentorship Through ChatGPT
Utilizing ChatGPT for Accountability
Information Condensation
Knowledge Assessment
Resource Identification for Learning:
Anticipating Learning Challenges


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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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Aditya Music Telugu presenting to you all the latest compilations of these feel good songs will mesmerize you.

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Stay updated with the latest videos, Subscribe on the link - http://bit.ly/adityamusic

00:00 - Mastaaru Mastaaru

02:55 - Ooru Palletooru

07:05 - Milky Beauty

10:10 - Hola Re Hola
13:47 - Lady Luck

16:36 - Kootha Ramp
20:50 - Rela Rela

24:47 - Neevuntey Chaalu

Movie : SIR
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Movie : Balagam
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Music : Mahati Swara Sagar

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Lyrics : Shree Mani
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Movie : Miss Shetty Mr Polishetty
Song : Lady Luck
Composed , Arranged & Rhythm Programmed by Radhan
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Vocals : Karthik

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Programmed & Mixed By : Siddharth S
Mastered By : Shadab Rayeen
Choreographer : Bhanu

Movie : Vimanam
Song : Rela Rela
Singer : Mangli
Music & Lyrics : Charan Arjun
Choreographer : Eshwar Penti

Movie : Michael
Song : Neevuntey chaalu
Music Director : Sam CS
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Singer : Sid Sriram
Choreography : Satish Krishnan

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