🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
In this Edureka video on “ ChatGPT4 vs ChatGPT 3.5” , you will learn about the new version of GPT model 4 against GPT 3.5., I aim to show you what is ChatGPT-4 and how it is going to change our world. What do you think about this new ChatGPT-4? Leave us a comment and let us know what you think of this video. We want to hear your thoughts. Below are the topics covered in this video:

00:00 Introduction
00:59 What makes ChatGPT 4 different?
01:10 1.Language Expertise
01:46 2. Data Organization
02:22 3.Consistency
02:48 4.Complicated Problem Solving
03:37 5.Understanding Images and Graphics
04:21 How to Install ChatGPT 4?


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in this video on How To Build An App Using CHatGPT Learn step-by-step as we explore the creation process, from idea conception to deployment. Whether you're a seasoned developer or a newcomer to the world of app development, these concise tutorials provide invaluable insights, tips, and tricks to streamline your workflow and unleash your creativity. Join us on a journey to revolutionize app development and unleash the potential of AI with ChatGPT's expert guidance. Subscribe now and start building!

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#chatgpt #app #softwaredevelopment #softwareenginner #ai #machinelearning #simplilearn

➡️ 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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In this 2018 GDC session, Valve's John McDonald discusses how Valve has utilized Deep Learning to combat cheating in Counter-Strike: Global Offensive.

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GDC talks cover a range of developmental topics including game design, programming, audio, visual arts, business management, production, online games, and much more. We post a fresh GDC video every day. Subscribe to the channel to stay on top of regular updates, and check out GDC Vault for thousands of more in-depth talks from our archives.

Join My Weekly Newsletter and Learn How to Use Chat GPT in Your Everyday Life: https://bit.ly/aiadvantagenewsletter

A quick beginner's guide on how to start using Chat GPT by OpenAI.
https://chat.openai.com/

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#chatgpt #howtousechatgpt #chatbotopenai

Celebrate the best video games of the year and see what's next at THE GAME AWARDS. Hosted by Geoff Keighley, live from the Microsoft Theater in Los Angeles. Featuring performances by The Game Awards Orchestra and Hozier, plus presenters including Pedro Pascal, Bella Ramsey, Troy Baker, Ashley Johnson, Daniel Craig, Rian Johnson and Jessica Henwick, Ken and Roberta Williams, Josef Fares, Fuslie and Valkyrae, Animal from The Muppets and more!

Including world premieres of STAR WARS Jedi: Survivor, Tekken 8, Destiny 2: Lightfall, and more!

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0:00 - Opening Act
31:47 - The Game Awards

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This Edureka video on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.

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#Edureka #ArtificialIntelligenceEdureka #AStarAlgorithm #artificialintelligence #artificialintelligencetutorial #artificialintelligencecourse
-------------------------------------------------------------------------------
About the Course

Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks, and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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

Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?

TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐞𝐥𝐞𝐧𝐢𝐮𝐦 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/seleniu....m-certification-trai code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this ‘Test Automation Strategy’ video by Edureka, you will learn about how to make test automation successful with a test automation strategy. Below topics are covered in this video:
Introduction to Automation Testing
Test Automation Strategy
Benefits of Test Automation Strategy

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