🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
"Level of Detail" is a new syntax which, both, simplifies and extends Tableau’s calculation language by making it possible to address level of detail questions directly. In this Edureka tutorial, you’ll gain insights into how LOD Expressions work, along with a more in-depth look at the different types of LOD Expressions and their respective use cases.
00:00:00 Agenda
00:01:23 Introduction to LOD
00:01:33 Questions arising while dealing with data
00:02:35 Shelves affecting LOD Aggregates
00:02:56 Types of LOD Expressions'
00:03:15 Working of LOD Expressions
00:10:11 Adding LOD Expressions to the Views
00:11:20 Nesting in Level of Detail
00:12:15 Data Sources supported by LOD
00:12:35 How to create Level of detail expression
00:17:03 Level of Detail vs Table of Calculations
00:18:09 Limitations of LOD

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Become a GPT text generation expert with our comprehensive 3-part video series. Learn how to build, train, and test your own GPT model, and gain insights into GPT-2 architecture, tokenization, and training processes that will elevate your language model projects.

Discover the power of GPT transformers and learn how to build, train, and test your own text generator in this comprehensive 3-part video series. Gain practical experience and insights into GPT-2 architecture, tokenization, and training techniques.

The Knapsack Problem is a classic optimization problem in computer science. It's often used to help teach dynamic programming and greedy algorithms. This is an important problem to understand, especially if you plan on interviewing soon for a programming job. In this course, Gavin Lon will explain the problem and show how to craft an efficient solution using C#.

💻 Code: https://github.com/GavinLonDig....ital/ZeroOneKnapsack

✏️ Course created by @GavinLon

⭐️ Contents ⭐️
(00:00) Introduction
(02:35) Overview of the 0 / 1 Knapsack problem
(09:08) Code the algorithm to solve the problem using C#
(17:49) Explain the algorithm that uses Dynamic Programming and the Memoization strategy
(38:17) Write code using C# to output the items to include in the Knapsack



🎉 Thanks to our Champion and Sponsor supporters:
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In today's episode, we're charting the course of Artificial General Intelligence (AGI) as of June 2023, guided by the timeline presented by AI expert Dr. Alan D. Thompson.

A critical turning point came in 2017, with the birth of the attention mechanism by Google researchers, paving the way for the creation of Transformers. These are the foundation of powerful AI models like GPT, and according to Dr. Thompson, we're about halfway to achieving AGI from here.

The period between 2017 and 2023 has been rich with major AI advancements, each one a stepping stone on our path to AGI. These include our deeper understanding of GPT-3's capabilities, innovative applications of AI in microchip design, and the emergence of multitasking models like DeepMind's Gato.

By 2020, we had made roughly 30% progress towards AGI, nudging up to 31% by 2021. Significant leaps, like the unveiling of GPT-3's remarkable abilities and the use of AI in hardware design, were clear indicators of this progress. In May 2022, the introduction of DeepMind's Gato model propelled us to 39% completion, thanks to its impressive capabilities and the demonstration of human-like general intelligence.

As 2022 came to a close, progress continued with developments in autonomous AI systems and AI-assisted human tasks. Into 2023, we saw AGI estimates rise to 41%, largely due to Microsoft's innovative use of ChatGPT in operating robotic components. The introduction of Google's PaLM-E 562B, capable of planning its own future based on visual and language data, took AGI estimates up to 42%.

The launch of the even more powerful GPT-4 model and the integration of AI into robotics have substantially fast-tracked our journey towards AGI. Stay tuned to "Curious Future" for more updates on the fascinating world of AI, and don't forget to subscribe for the latest in AI, technology, and innovation.

CURIOUS FUTURE: @dylan_curious
↪ https://www.youtube.com/channe....l/UCpdyFxSktWo3W6kMY

CURIOUS PODCAST: @dontsweatitpod
↪ https://www.youtube.com/channe....l/UChChPrDzfifYB9Si1

CURIOUS FRIENDS: @vegasfriends
↪ https://www.youtube.com/channe....l/UCJ2Q3smwCLmbEDDA3

00:00 - Artificial General Intelligence, 50% Complete: Fact or Fiction?
00:42 - Did Google’s Invention of the Transformers Take Us 20% of the Way to AGI?
01:23 - 30% to AGI in 2020? Unraveling the AI Progress Debate
02:24 - AI Designing AI: The 31% Milestone Towards AGI in 2021
03:14 - DeepMind’s Gato Model: The Super Multitasker Pushing AGI to 39%?
03:48 - We Are 39% Of The Way To AGI: Unraveling Antropic’s Human Reinforcement Method
04:55 - Microsoft’s ChatGPT Pushed Us 41% Closer To AGI
05:49 - AGI at 42%: After Google’s PaLM-E 562B’s Shows Adaptive Abilities
07:19 - AGI at 48%: What Does this Mean for AI’s Future?
08:43 - Humans at 94%, AI at 90.9% | AGI Progress Is Moving Fast
09:37 - 2 Milestone To Look For Before AGI Arrives On Earth

SOURCES:
https://lifearchitect.ai/agi/
https://ai.googleblog.com/2017..../08/transformer-nove
https://www.youtube.com/watch?v=HrV19SjKUss&t=175s&ab_channel=MachineLearningStreetTalk
@MachineLearningStreetTalk
https://www.theverge.com/2021/....6/10/22527476/google
https://www.nature.com/articles/s41586-021-03544-w
https://lifearchitect.ai/the-sky-is-on-fire/
https://www.youtube.com/watch?v=6fWEHrXN9zo&list=PLqJbCeNOfEK-o63ACEKEbwE6-XpEXXS_I&ab_channel=DrAlanD.Thompson
https://en.wikipedia.org/wiki/Gato_(DeepMind)
https://www.deepmind.com/publi....cations/a-generalist
@DrAlanDThompson
https://developer.nvidia.com/b....log/designing-arithm
https://www.microsoft.com/en-u....s/research/group/aut
https://www.youtube.com/watch?v=wLOChUtdqoA&ab_channel=MicrosoftAutonomousSystems%26RoboticsResearch
@msftautonomoussys
https://palm-e.github.io/
https://arxiv.org/abs/2303.12712
https://www.youtube.com/watch?v=XyCKe3rrYik&ab_channel=STrucBot
https://www.fastcompany.com/90....889271/boston-dynami
https://tidybot.cs.princeton.edu/
https://www.youtube.com/watch?v=Vq_DcZ_xc_E&ab_channel=AgilityRobotics
@Structon
@AgilityRobotics

WATCH THE FULL VIDEO ⤵
https://www.youtube.com/watch?v=xyzY3cj7tTA

#ai #artificialintelligence #tech #agi #gpt3 #gpt4 #deepmind #chatgpt #robotics #google #microsoft #machinelearning #autonomousai #palm-e562b #gato #transformers #futuretech #innovation #aitechnology #aitimeline #curiousfuture #alanthompson #artificialgeneralintelligence #aidesign #aipredictions #aiadvancements #aiupdates

Поддержать проект можно по ссылкам:
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В мире робототехники существует много соревнований, и, возможно одно из самых странных — забеги робомышей по лабиринту. Так называемые «микромыши» должны самостоятельно найти кратчайший путь к цели, а затем пройти его как можно быстрее. Состязания проводятся регулярно уже пару десятков лет, и Дерек Маллер с канала Veritasium посетил одно из них, чтобы пообщаться с участниками и узнать, что же их привлекает в этом нестандартном виде спорта.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Алексей Гущенко
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

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

Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Шурик Самара, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, dv0, Адам Шифф, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения, Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Куляш, Anatoly Ressin, Мikhail Samin, Pavel Parpura, Vitaliy Vachynyuk, Anton Bolotov, Таисия, Eugene Tsaplin, Ника Калмыкова, opperatius, Katoto Chan, Oleg Zingilevskiy, angel, Victor Cazacov, Kirill Zaslavskii, Vladimir Sharich, Oleksandr Hrebeniuk, Vadim Velicodnii, Artem Amirbekov, Evgeny Vrublevsky, Ihar Marozau, Morock_D, Katya Ma, Николай Шпотаковский, Maxim Korotkov, Timur Sattarov, Alex Kulakov, Janis Riekstins, Anna Ostrovskaya, Vladyslav Sokolenko, Dzmitryi Halyava, Irina Shakhverdova, Leonid Steinberg, Aleksei Shabalin, Alexander Goida.

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© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/ZMQbHMgK2rw

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** Machine Learning Certification Training - https://www.edureka.co/machine....-learning-certificat **
** Machine Learning Podcast - https://castbox.fm/channel/id1832236 **

This Video covers the Different Trending Machine Learning Projects in the industry that are open source and are helpful to gain knowledge of machine learning and deep learning. This video also covers the practical implementation of Machine Learning in a few real-life scenarios.

Open Source Projects:

TensorFlow.JS: https://github.com/tensorflow/tfjs
Detectron: https://github.com/facebookresearch/Detectron
Denspose: https://github.com/facebookresearch/DensePose
Deep Painterly Harmonization: https://github.com/luanfujun/d....eep-painterly-harmon
Image Outpainting: https://github.com/bendangnuks....ung/Image-OutPaintin
AstroNet: https://github.com/google-research/exoplanet-ml
BERT: https://github.com/google-research/bert
Adanet: https://github.com/tensorflow/adanet
DeepMimic: https://github.com/xbpeng/DeepMimic

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

------------------------------------

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

--------------------------------------

Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

--------------------------------------

Objectives of the Course:

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

--------------------------------------------

Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

-------------------------------------------------------------------------------------
*** Machine Learning Podcast - https://castbox.fm/channel/id1832236 ***

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From scratch implementation of neural network in Python using only the numpy library. There's a lot of mathematics behind Neural Networks particularly for back-prop and I've made previous videos going through the mathematics for NN and a blog post to enable us to focus on the implementation in this video.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
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PyTorch Playlist:
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/docker-training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Docker Tutorial for Beginners video on "What is Docker" will help you understand how to use Docker Hub, Docker Images, Docker Container & Docker Compose. ( Docker Tutorial Blog Series: https://goo.gl/32kupf )It also explains Docker's working Architecture and Docker Engine in detail. It also includes a Hands-On session around Docker by the end of which you will learn to pull a centos Docker Image and spin your own Docker Container.
00:00:00 Introduction
00:00:43 Agenda
0001:49 Why Docker
00:08:44 What is Docker
00:12:45 Case Study
00:14:18 Docker Workflow & Architecture
00:16:56 Docker Components
00:20:25 Docker Compose
00:22:17 Docker Swarm
00:24:35 Docker Installation & Setup
00:27:41 Hands On

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
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🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/power-b....i-certification-trai (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "Power Query Tutorial" video will help you to understand the value brought by the data connection technology into Power BI Desktop and how it provides a powerful tool for transforming and presenting business intelligence data.
00:00:00 Introduction
00:01:16 Agenda
00:02:22 Introduction to power query
00:07:33 Problem Statements
00:16:27 Promote Values
00:18:51 Filter Rows
00:21:07 Replace Values
00:25:17 Add Calculated Column

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
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🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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Introduction to Langchain Javascript Documentation. How to Create GPT-3 GPT-4 Chatbots that can contextually reference your data (txt, JSON, webpages, PDF) with embeddings . Brief Introduction into embeddings, vectorstorage options such as Pinecone, Chroma.

Consulting 1hr Call: https://cal.com/starmorphai/co....nsultingcall?duratio
Starmorph Website: https://Starmorph.com
NextJS Trained Bot: https://code.chat
Langchain JS Docs: https://js.langchain.com/docs/
Langchain Python Docs: https://langchain.readthedocs.io/en/latest/
OpenAI Embeddings Docs: https://platform.openai.com/do....cs/guides/embeddings
Zahid Open Source Langchain: https://github.com/zahidkhawaj....a/langchain-chat-nex
Instagram: https://instagram.com/starmorphdesign

Build a simple yet powerful chatbot with GPT-3 for free in 5 minutes with only 20 lines of code.

===LINKS===
In-depth blog tutorial: https://medium.com/@techieray/....build-a-basic-gpt-3-

OpenAI signup: https://beta.openai.com/signup
OpenAI API documentation: https://beta.openai.com/docs/introduction/overview

===FOLLOW ME (techie_ray)===
Instagram: https://www.instagram.com/techie_ray/
TikTok: https://www.tiktok.com/@techie_ray
Personal website: https://www.techieray.com/

How to use Chat GPT Secrets when writing with it. These are very useful commands and tips that you can use to your advantage when writing with Chat GPT. Chat GPT is an artificial intelligence tool that can generate text, write essays, answer questions, classify and compare text, explain or write codes. It is fluent in almost every language. This chat bot is most advanced AI to date and it's made by Open AI.

User friendly version: https://chat.openai.com/chat
Advanced playground version: https://beta.openai.com/playground

How to use it: https://youtu.be/rtqD3ne7GzA
How to write essay: https://youtu.be/JW2VcCmRed8
More tips: https://youtu.be/hXAgRYKTpqE
More tips: https://youtu.be/5vVuk-D0h-E
Video about Chat GPT:https://youtu.be/mH2zN_S1q2c
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CHAPTERS
00:00 Intro
00:17 Advanced prompts
01:03 Research
01:35 Improve vocabulary
02:14 Rewrite - Rephrase

#chatgpt #chatbot #openai