GPT-3 is super intelligent NLP deep learning model. In order to understand GPT-3 or later version, we should understand fundamental basic of it, and this video is covering the basic of GPT which covers before the transformer, and summary of transformer and the basic fundamental of GPT by looking at GPT-1.

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In this video on openAI chatgpt 4o, we will be exploring the latest open ai model gpt4o, in this we will cover what is gpt40, how it different from the other gpt mode, chatgpt features demo like chitchatting with gpt, uploading image etc, at the end we will cover safety and limitations of gpt 4o.
GPT-4o is a big upgrade in OpenAI's smart tech. It's better at understanding and talking like a human than previous versions. It's super good at tasks like answering questions or writing stories. OpenAI keeps making it better. Now, it can even understand pictures! This makes it even more useful.

Below are the topics covered in how to use chatgpt 4o video:

00:00 Introduction To Open AI ChatGPT-4o
00:24 What Is Gpt 4o
02:21 How Gpt 4o is different from other models
02:44 Chatgpt 4o Demo Features
11:25 Safety and limitations of gpt 4o

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#chatgpt4o # GPT4o #AI #ArtificialIntelligence #MachineLearning #2024 #Simplilearn

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➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

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How to build your own Tiny Language Model from scratch - Luca Gilli - PyCon Italia 2025

Elevator Pitch:
Join us to discover Tiny Language Models: ultra-compact, resource-efficient AI tools that deliver impressive results. In this session, you’ll learn how to create your own model, from data preparation to training. These models combine innovation with efficiency, making AI more accessible than ever.

Learn more: https://2025.pycon.it/event/ho....w-to-build-your-own-

#MachineLearning #DeepLearning #NaturalLanguageProcessing

How is a beginner supposed to get started learning machine learning? I'm going to describe a free 3 month curriculum to help you go from beginner to well-versed in modern machine learning. Transformers, Diffusers, Large Language Models, and dozens of new ML Ops tools have been released the past few years! The field of ML has changed so much and there are so many new tools to learn. Using the help of AI services, we can learn a lot faster than usual. This learning plan is something I'd create for myself if I were to get started today, but I'm going to open source it for you guys. This curriculum will cover all the math concepts, machine learning, deep learning, ML Ops, and tons of cool projects to get you up to speed with the field as fast as possible. If anyone asks how to best get started with machine learning, direct them to this video!

Curriculum from this video:
https://github.com/llSourcell/LearnML

Subscribe! And like. And comment. That's what keeps me going.

Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
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Curriculum Links
-----------------------------------------------------
Month 1: Machine Learning

Week 1: Python Fundamentals - https://allendowney.github.io/DSIRP/index.html

Week 2: Math of Machine Learning -
http://www.xaktly.com/XMathMain.html

Week 3: Data Analysis -
https://www.kaggle.com/learn

Week 4: Machine Learning Techniques -
https://github.com/ipython-books/cookbook-2nd

Month 2: Deep Learning

Week 1: Neural Networks
http://d2l.ai/

Week 2: Transformers
https://huggingface.co/course/chapter1/1

Week 3: Diffusers
https://www.fast.ai/posts/part2-2022-preview.html

Week 4: Deep Reinforcement Learning
https://simoninithomas.github.io/deep-rl-course/

Month 3: Machine Learning Operations

Week 1: Design -
https://madewithml.com/

Week 2: Development -
https://fullstackdeeplearning.com/course/2022/

Week 3: Production -
https://github.com/DataTalksClub/mlops-zoomcamp

Week 4: Data Engineering -
https://github.com/DataTalksCl....ub/data-engineering-

Never get stuck without AI again. Run three Small Language Models (SLMs)—also called Local LLMs—TinyLlama, Gemma-3 and Phi-4-mini—completely offline; all fit in 4 GB or less and work on any laptop and older hardware.

────────────────────
🔧 Hardware & Software used
• Laptop Ryzen 5 4500U, 8GB RAM, Ollama (no GPU needed!)
• Phone iPhone 13 Pro with Mobile PocketPal AI (local GGUF)

────────────────────
🔗 Model resources
• ChatGPT global outage (news)
https://timesofindia.indiatime....s.com/etimes/trendin
• Phi-4-mini reasoning paper
https://www.microsoft.com/en-u....s/research/wp-conten
• TinyLlama 1.1 https://huggingface.co/TinyLlama/TinyLlama_v1.1
└ GGUF Q4_0 637 MB https://huggingface.co/TheBlok....e/TinyLlama-1.1B-Cha
• Gemma-3 https://huggingface.co/blog/gemma3
└ GGUF Q4_K_M 0.8 GB https://huggingface.co/Maziyar....Panahi/gemma-3-1b-it
• Phi-4-mini https://huggingface.co/microso....ft/Phi-4-mini-reason
└ GGUF Q4_K_M 2.5 GB https://huggingface.co/lmstudi....o-community/Phi-4-mi

────────────────────
🎬 More on local AI
• End of VRAM? https://youtu.be/M9ZphDPRP_w
• Is local AI image generation dying? https://youtu.be/ad7jBaNgIW8

🛠 Support the channel
Patreon https://www.patreon.com/NextTechAndAi

────────────────────
▼ Comment Poll
What would YOU use offline AI for?

#SmallLanguageModels #LocalLLM #OfflineLLM #LocalAI

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Simplilearn Quiz: Web Development is a quick quiz-oriented #shorts video by simplilearn focusing on enhancing the fundamentals of web development for aspiring computer science engineers. In this quick quiz short video, you will be asked a simple question that questions you about the collection of web pages. You'll have 4 options and 10 seconds to answer this question. You'll get to know if your answer is right or wrong in the last second of this video.

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✅ About Full Stack Web Developer - MEAN Stack Program:

This program will advance your career as a MEAN stack developer. You’ll learn top skills such as MongoDB, Express.js, Angular, and Node.js (“MEAN”), plus GIT, HTML, CSS, and JavaScript to build and deploy interactive applications and services throughout this Full Stack MEAN Developer program. Full Stack Web Developer Mean Stack course provides complete knowledge of software development and testing technologies such as JavaScript, Node.js, Angular, Docker, and Protractor. You'll build an end-to-end application, test and deploy code, and store data using MongoDB.

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- 8X higher interaction in live online classes conducted by industry experts
- 150 hours of instructor-led training
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- Choose from 4 industry-aligned capstone projects
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered:

- Agile
- HTML
- CSS
- HTTP
- Express.js
- API Testing with Postman

✅ What is MEAN Stack?

The term MEAN stack refers to a collection of JavaScript-based technologies used to develop web applications. MEAN is an acronym for MongoDB, Express, Angular, and Node.js. MongoDB is a database system, Express is a back-end web framework, Angular.js is a front-end framework, and Node.js is a back-end runtime environment.

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In order to become a MEAN stack developer, you will need to have a working knowledge of software development tools, databases, testing tools, and frameworks. You should be able to work as part of a scrum team—following agile methods, building, testing, and delivering features.

✅ How long does it take to learn full stack development?

You can learn the basics of full stack in just three months. However, it’s imperative to have in-depth knowledge of all of the concepts related to front-end and back-end development to make a successful career in this field. Because of this, it may take around 1-2 years to learn full stack thoroughly. Simplilearn can help you learn full stack in just 12 months with its full stack web developer — MEAN stack course. The course curriculum is highly rigorous and covers full stack development with a special focus on MEAN stack. It makes learning easy by offering knowledge on over 20 skills and tools that are highly-relevant in the industry and providing learners with real industrial exposure through four capstone projects.

✅ Is full stack development a good career?

Pursuing a career in full stack development is worthwhile because companies are desperately looking for developers who are skilled in handling any situation and who can take care of both front-end and back-end development. Companies are also offering high salaries to full stack developers.

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⏩ Check out the Full Stack training videos: https://www.youtube.com/watch?v=8KaJRw-rfn8&list=PLEiEAq2VkUULCC3eEATL4zzuapTjmo1Z

#Website #Webpage #WhatIsAWebpage #WhatIsAWebsite #Internet #Shorts #YTShorts #Simplilearn

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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Learn Mojo in this full tutorial. The Mojo programming language combines the usability of Python with the performance of C. It's basically an enhanced version of Python specifically designed for Artificial Intelligence developers.

💻 Code: https://github.com/Infatoshi/intro-to-mojo

✏️ Course created by @elliotarledge
Elliot's discord: https://discord.gg/pV7ByF9VNm

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:04:16) What is Mojo
⌨️ (0:07:57) Modular Community
⌨️ (0:12:06) Setting Up
⌨️ (0:17:04) Hello World
⌨️ (0:19:20) Local Jupyter Notebook
⌨️ (0:22:21) Variables, Declarations, and Datatypes
⌨️ (0:33:27) Getting User Input
⌨️ (0:36:28) IF/ELSE Statements
⌨️ (0:40:28) Loops & Functions
⌨️ (0:47:41) Python VS Mojo functions
⌨️ (0:52:26) OOP
⌨️ (1:05:21) Importing Libraries
⌨️ (1:08:48) Raises, Error handling, Exceptions
⌨️ (1:14:49) Inout, Borrowed, Owned, and With Statements
⌨️ (1:21:49) Variable Scope
⌨️ (1:24:46) Mojo CLI
⌨️ (1:35:54) SIMD (single instruction, multiple data)
⌨️ (1:43:47) Decorators & Metaprogramming
⌨️ (1:46:01) Speed test (Mojo VS Python)
⌨️ (1:58:48) How to Ask Questions & Post Errors
⌨️ (2:08:13) Final Comments
⌨️ (2:11:49) Outro

🎉 Thanks to our Champion and Sponsor supporters:
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Read hundreds of articles on programming: https://freecodecamp.org/news

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Ламинарное течение, безусловно, красивый феномен. Обязательно поищите ролики на YouTube, если вы его ещё не видели. Один из больших поклонников этого явления — Дестин Сэндлин с канала Smarter Every Day, но Дерек Маллер с канала Veritasium не разделяет его восторженных взглядов и готов доказать, что турбулентное течение круче.

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

Nick Denizhenko, Oleksii , Pavel Dunaev, Mikhail Stolpovskiy, Ігор Дорохов, Boris Bendikov, Михаил Панькин, Виталий Алешко, Felix , Pavel Parpura, Yevhen , Katoto Chan, Данил Рягузов, Владимир Кашутин, Kosoy , Anton Bolotov, Максим Минин, Максим Sheridan' Горлов, Luba Karpenko, Anton Makiievskyi, Vladimir Grachev, Denis Titusov, Spartak Kagramanyan, Максим Иванов, Dmitriy Omelyansky, Konstantin Pesyakov, Olga Shistareva, Alex Katkov, Serj Kravchuk, Alexander Zimin, Евгений Миф, Alexey Kukushkin, Пугачёв Пётр, Viktoria , Kamerton_440 , Alexander , Pandaben , Oleg Streltsov, Monza UA, Дмитрий Сергеевич, Alexandr Globov, Мария Соозарь, Vladimir Goshev, Vladyslav Sokolenko, Pavel D, Maria Tronina, Alexander Balynskiy, Ivan Iakimov, Иван Дьяченко, Claudia Barzaeva, sepeca , Olga Podolskaya, Aleksei Masliukov, Valeria Volodina, Alexander Gorodok, Viktor Lova, Ольга Канкулова, Vladimir Gavriushov, Алексей Разводов, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Evgeny Vrublevsky, Виталий Пастушенко, Katya Prokopchuk, Ihar Marozau, Lirin Alex, Alterien

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Вадим Казанцев, Дмитрий Чепусов, Екатерина Муравицкая
Монтаж звука: Андрей Фокин
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© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/5zI9sG3pjVU

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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Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

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