Latest videos
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
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๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
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๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
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๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
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 โHello Wordโ 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.
- - - - - - - - - - - - - -
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.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐ฐ๐ข๐ญ๐ก ๐๐๐ง๐ฌ๐จ๐ซ๐๐ฅ๐จ๐ฐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง: https://www.edureka.co/ai-deep....-learning-with-tenso (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
00:00:00 Agenda
00:01:28 Introduction to Deep Learning
00:08:24 What is Deep Learning
00:13:02 NLP using RNN
00:15:59 Scaling up NLP task
00:16:49 Transformers Walkthrough
00:19:51 Top Language Models
๐ด Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
๐Feel free to share your comments below.๐
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฅ๐-๐๐๐ฌ๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ
๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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๐ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
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๐ต Web Development Masters Program: http://bit.ly/3U9R5va
๐ Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
๐ต Cyber Security Masters Program: http://bit.ly/3U25rNR
๐ Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
๐ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ต Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
๐ Python Online Training: http://bit.ly/3i7DiDD
๐ต AWS Online Training: http://bit.ly/39EOIv9
๐ RPA Online Training: http://bit.ly/39t6MrE
๐ต Data Science Online Training: http://bit.ly/3bywuOu
๐ Big Data Online Training: http://bit.ly/35ADG8L
๐ต Java Online Training: http://bit.ly/35Avwxb
๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
๐ Cloud Architect Masters Program: http://bit.ly/2MY1OMc
๐ต Data Scientist Masters Program: http://bit.ly/3qaVZJA
๐ Big Data Architect Masters Program: http://bit.ly/3qaVZJA
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
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 โHello Wordโ 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.
- - - - - - - - - - - - - -
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.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
๐ Python Online Training: http://bit.ly/3i7DiDD
๐ต AWS Online Training: http://bit.ly/39EOIv9
๐ RPA Online Training: http://bit.ly/39t6MrE
๐ต Data Science Online Training: http://bit.ly/3bywuOu
๐ Big Data Online Training: http://bit.ly/35ADG8L
๐ต Java Online Training: http://bit.ly/35Avwxb
๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
๐ Cloud Architect Masters Program: http://bit.ly/2MY1OMc
๐ต Data Scientist Masters Program: http://bit.ly/3qaVZJA
๐ Big Data Architect Masters Program: http://bit.ly/3qaVZJA
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
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 โHello Wordโ 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.
- - - - - - - - - - - - - -
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.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅ Generative AI Course Masters Program: https://www.edureka.co/masters....-program/generative-
In this video on โwhat is generative AIโ, we'll explore concepts like technologies applying advanced algorithms such as generative adversarial networks and autoencoders to analyze data and produce novel images, sounds, and media based on identified patterns. Discover why generative AI has become so important for artists, designers, researchers, and creators in many different fields. It introduces viewers to the platform's accessibility and functionality, highlighting how individuals can interact with it to produce their own distinctive creations. We'll explore the reasons behind its growing popularity and how it's changing the way people work and create. Learn about the journey of generative AI, where the evolution from its beginnings to the latest advancements. See how this technology has grown and changed over time, and what's coming next.
โ
00:00 - Introduction To Generative AI
โ
01:32 - Large Language Model (LLM)
โ
03:04 - Application of Generative AI
โ
06:53 - Why Generative AI?
โ
07:41 - Models of Generative AI
โ
09:38 - Evolution of Generative AI
โ
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Introduction of Generative AI?
Generative AI helps to create new artificial content or data that includes Images, Videos, Music, or even 3D models without any effort required by humans.*GAI provides and generates the needed for text ,videos,audios and other data using generative models often to stimuli. Thatโs how it makes all the human life more simplifying and directing. It aids in creative endeavors by generating ideas, designs, and content across various domains.
Why Generative AI?
Generative AI enhances decision-making processes by providing valuable insights, augmenting data analysis, and enabling scenario simulations. By generating diverse and realistic options, generative AI helps decision-makers explore alternative strategies, assess potential outcomes, and make informed choices and also they are the major economic growth.
Models of Generative AI?
Their primary function is to understand and capture the underlying patterns or distributions from a given set of data. Once these patterns are learned, the model can then generate new data that shares similar characteristics with the original dataset. Generative AI also has models that are used to improve the quality of the datasets and a additional information to the original dataset but which is not previously seen. The models are made and generated by the data that is trained with the use of main AI algorithms with allow to train the data and synthesis the new characteristic.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free)."
For years, the likes of Google and OpenAI have been racing to build ever bigger and costlier AI models using a tremendous amount of online data - think chatbots like ChatGPT, which can handle a wide range of complex queries. But some startups are now betting on a different strategy: small language models, automating a more limited set of day-to-day corporate tasks without requiring as much data. Bloomberg's Rachel Metz joins Ed Ludlow to discuss on "Bloomberg Technology."
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๐ฅEdureka AWS Training: https://www.edureka.co/aws-certification-training
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker. These are the topics covered in the AWS Machine Learning Tutorial video:
00:00:00 Introduction
00:01:14 What is Amazon Sagemaker?
00:04:21 Create your AWS Account
00:06:46 Create your First Notebook Instance
00:17:39 Train your Model on AWS
00:24:37 Deploy your Model on AWS
00:26:33 Evaluate your Model on AWS
00:29:03 AWS SageMaker Case Study: Grammarly
๐นCheck Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
๐นCheck Edureka's Blog playlist here: https://bit.ly/3gfNuZr
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
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This video introduces you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. Attention is used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.
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Database vs Data Warehouse vs Data Lake | Today we take a look at these 3 different ways to store data and the differences between them.
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Learn about a platform to help direct, manage and monitor AI activities โ https://ibm.biz/BdPu9s
Data Governance and Privacy โ https://ibm.biz/Data_Governance_and_Privacy
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides, automate the enforcement of data protection policies, and activate metadata to build data products faster for more intelligent decisions. Scott Buckles quickly explains this topic in 5 minutes.
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Learn about IBM watsonxโ https://ibm.biz/BdvkK8
LangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Keen shares an overview of the features and uses of LangChain.
Get started for free on IBM Cloud โ https://ibm.biz/sign-up-now
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๐ฅEdureka PGP in AI & ML: https://www.edureka.co/post-gr....aduate/machine-learn
This Edureka video on What is Text Classification in Machine Learning gives you a brief overview of text classification. In this quick guide, the following topics will be covered:
1) What is Text Classification?
2) Use Case of Text Classification
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Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry-grade projects.
----------------------------------------------
Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI
1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features
1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects
1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
-----------------------------------------------
Mentors & Instructors
Dr. RBV Subramaanyam
Professor NITW
Dr. DVLN Somayajulu
Professor NITW
Dr. P. Radha Krishna
Professor NITW
Dr. V. Ravindranath
Professor JNTU Kakinada
--------------------------------------------
Is this program for me?
If youโre passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether youโre a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.
Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
Will I get any certificate at the end of the course?
Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.
For more information, please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
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๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
๐ฅEdurekaโs Generative AI Master course: https://www.edureka.co/masters....-program/generative-
Explore the fundamentals and applications of Generative AI in this comprehensive Generative AI Full course, featuring tutorials on essential concepts such as Text Classification, Autoencoders, GANs, and models like ChatGPT. Delve into the basics of Generative AI, Artificial Intelligence, Machine Learning, and Deep Learning while exploring popular tools like TensorFlow and Keras. Gain insights into various types of AI and learn how to become an AI Engineer.
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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Large Language Models Explained | What Is Large Language Model (LLM) | LLM in Generative AI |Edureka
"๐ฅ Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course
In this video on ""Large Language Models Explained "", you'll gain a deep understanding of large language models (LLMs). We'll explore what LLMs are and how they function, providing clear examples along the way. You'll learn about the benefits of LLMs and discover the key differences between LLM development and traditional development methods. By the end of this video, you'll have a thorough grasp of LLM technology.
In this informative video of Large Language Models Explained, we will cover the essential topics such as:
โ
00:00 - Introduction to Large Language Model
โ
01:35 - What is LLMs?
โ
02:20 - How LLMs works?
โ
03:42 - Examples of LLMs
โ
06:32 - Benefits of using LLMs
โ
06:32 - Differentiate between LLM & Traditional development"
"โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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๐ต Large Language Models (LLMs) Course with Generative AI : https://rb.gy/fg3mdt
๐ Data Science with Python Certification Course: https://bitly.ws/37EhS
๐ต Data Science with R Programming Certification Training Course : https://bitly.ws/37Eki
๐ ChatGPT Complete Course : https://rb.gy/ttjnhl
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๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
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About Large Language Models (LLMs) Course with Generative AI
Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -
Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.
- - - - - - - - - - - - - -
What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"
"๐ฅ Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course
In this video on ""What is LLM"" we'll dive into large language models (LLMs), powerful AI systems trained on massive text datasets to understand and generate human-like language. We'll introduce the concept of LLMs, explain how they leverage deep learning and self-attention mechanisms, and Discover examples of large language models like Google's LLaVA, OpenAI's GPT-3, and Microsoft's Turing-NLG, which power LLM's capabilities. We'll explore their impressive capabilities in tasks like text generation, summarization, question answering, and translation, as well as their real-world applications across industries.
In this informative video on What is LLM, we will cover the following Topics:
โ
00:00 - Introduction to Large Language Model
โ
01:03 - What is LLMs?
โ
01:48 - Examples of LLMs
โ
02:01 - Applications of LLMs
โ
02:36 - How does LLM works?
โ
03:57 - Understand Working of LLM With an Example
"
"โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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๐ต Large Language Models (LLMs) Course with Generative AI : https://rb.gy/fg3mdt
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๐ ChatGPT Complete Course : https://rb.gy/ttjnhl
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๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐ต Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
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๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
- - - - - - - - - - - - - -
About Large Language Models (LLMs) Course with Generative AI
Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -
Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.
- - - - - - - - - - - - - -
What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"