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๐ฅ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง : https://www.edureka.co/python-....natural-language-pro (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
This Edureka video on 'Mathematics for Machine Learning' teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics.
0:00 Introduction
2:42 Why Mathematics in Machine Learning?
5:03 Linear Algebra - Scalars
6:20 Linear Algebra - Vectors
7:14 Linear Algebra - Vector Operations
11:22 Linear Algebra - Matrices
13:48 Linear Algebra - Matrix Operations
20:25 Linear Algebra - Vector as Matrix
22:35 Linear Algebra โ Vector as Matrix
26:10 Linear Algebra - Eigen Vectors
27:42 Linear Algebra - Applications
๐Feel free to comment your doubts in the comment section below, and we will be happy to answer๐
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โฉ๐๐จ๐ฉ ๐๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ฎ: https://bit.ly/3yhEs7S
โฉ๐๐จ๐ฉ ๐๐ ๐๐ข๐ ๐ก๐๐ฌ๐ญ ๐๐๐ฒ๐ข๐ง๐ ๐๐จ๐๐ฌ ๐
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โฉ๐๐จ๐ฉ ๐๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฆ๐ข๐ง๐ ๐๐๐ง๐ ๐ฎ๐๐ ๐๐ฌ ๐๐จ๐ซ ๐๐๐๐: https://bit.ly/3FW6F69
โฉ๐๐จ๐ฉ ๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐จ๐ซ ๐๐๐๐: https://bit.ly/3gH57mr
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About Course :
About the Natural Language Processing with Python course
Edureka's Natural Language Processing Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. This NLP course has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed as a part of this NLP training. This NLP course is for anyone who works with data and textโ with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of this NLP Certification course, we will be discussing various practical use cases of NLP in the python programming language to enhance your learning experience.
( R Training : https://www.edureka.co/r-for-analytics )
Machine learning is a branch of artificial intelligence concerns the construction and study of systems that can learn from data. The video covers the following topics:
1. Machine Learning
2. Learning Techniques
3. What is Supervised learning
4. What is unsupervised learning
5. Difference between supervised and unsupervised learning
Related posts:
https://www.edureka.co/blog/r-....tutorial-for-data-an
https://www.edureka.co/blog/vi....deos/introduction-bu
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. For more information, please write back to us at sales@edureka.co
Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
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.
Topics covered in this session:
00:00 Introduction
00:40 Agenda
01:18 What is Amazon Sagemaker
04:28 Create Your AWS Account
06:52 Create your first Notebook Instance
12:56 Download and Explore Dataset
17:44 Train Your Model
24:43 Deploy Your Model
26:42 Evaluate Your Model
29:09 Case Study
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#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
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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 sales@edureka.in or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
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About the Webinar
Unlock the transformative power of artificial intelligence with our Applied Generative AI Specialization in partnership with Purdue University.
Join us on April 18th, 09:00 PM, for an exclusive insight into our Applied Generative AI Specialization. Discover the cutting-edge curriculum, hands-on projects, and unique features of this program designed to prepare you for success in developing and deploying AI-driven solutions.
๐Know more about the upcoming Live and Interactive Webinars here: https://sites.google.com/simplilearn.net/webinars/home?utm_campaign=Live-11Sep2024GenAI&utm_medium=Description&utm_source=youtube
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โฉ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq
#ArtificialIntelligence #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn
Topics Covered:
In this enlightening session, we will explore key components of our Applied AI Course, including:
โ
Foundational AI Concepts
โ
Developing AI Applications
โ
AI in Practice
โ
AI Governance
โ
Interactive Q&A Session
About Applied Generative AI Specialization
Master Generative AI with this cutting-edge program delivered collaboratively by Purdue University Online and Simplilearn. Explore concepts like prompt engineering, large language models, attention mechanisms, and LLM fine-tuning. Learn in-demand tools and shape the future of intelligent systems.
Key Features
โ
Program completion certificate from Purdue University Online and Simplilearn
โ
Access to Purdueโs alumni association membership on program completion
โ
50+ hours of core curriculum delivered in live online classes by industry experts
โ
Build Generative AI-enabled applications through hands-on projects
โ
Live online masterclasses delivered by Purdue faculty and staff
โ
Gain exposure to ChatGPT, OpenAI, Hugging Face, DALL-E 2 and other prominent tools
โ
Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
โ
Simplilearn's JobAssist helps you get noticed by top hiring companies
โ
Earn official trophy and badges for โMicrosoft Azure AI Fundamentals: Generative AIโ on the Microsoft Learn portal
Applied Gen AI Course Advantage
Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.
Applied Gen AI Course Details
Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.
Learning Path
โ
AGS: Program Induction
โ
AGS: Python Basics (Optional)
โ
AGS: Essentials of Generative AI, Prompt Engineering & ChatGPT
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AGS: Advanced Generative AI - Models and Architecture
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AGS: Advanced Generative AI - Building LLM Applications
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AGS: Advanced Generative AI - Image Generation Capabilities
โ
AGS: Generative AI Governance
Electives:
โ
AGS: Microsoft Azure AI Fundamentals - Generative AI
โ
AGS: Academic Masterclass
Skills Covered
โ
Python Programming
โ
Explainable AI
โ
Prompt Engineering
โ
Variational Autoencoders VAEs
โ
Generative Adversarial Networks GANs
โ
Transformers
โ
LLM Architecture
โ
Attention Mechanism
โ
Langchain for Workflow Design
โ
GenAI Application Development
โ
LLM Fine Tuning
โ
LLM Benchmarking
โ
Stable Diffusion
โ
Generative AI Governance
Tools Covered
โ
Python
โ
ChatGPT
โ
OpenAI
โ
Hugging Face
โ
Bard
โ
Dall-E-2
โ
LangChain
โ
Gradio
โ
Chroma
โ
StreamLit
Industry Projects
โ
Project 1
Craft an AI Powered HR Assistant
โ
Project 2
Build a Creative Logo Designer
โ
Project 3
Conversational Chatbot for Document Interaction
๐Learn more at: https://www.simplilearn.com/applied-ai-course?utm_campaign=Live-11Sep2024GenAI&utm_medium=Description&utm_source=youtube
๐ฅ๐ฅ Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
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
Python Tutorial Playlist: https://goo.gl/WsBpKe
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#PythonEdureka #Edureka #textclassification #pythontextclassification #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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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.
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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
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Industry Projects
1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
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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 sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
This is the 1st video in a series on using large language models (LLMs) in practice. I introduce LLMs and three levels of working with them.
โถ๏ธ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos
๐ฐ Read more: https://towardsdatascience.com..../a-practical-introdu
Music by Me
https://soundcloud.com/shawhin....-talebi/letsalljustt
https://www.youtube.com/@shawhin-music
--
Homepage: https://shawhintalebi.com/
Intro - 0:00
What is an LLM? - 1:13
Zero-shot Learning - 3:36
How do LLMs work? - 5:44
3 Levels of Using LLMs - 7:52
Level 1: Prompt Engineering - 8:22
Level 2: Model Fine-tuning - 11:00
Level 3: Build your own - 13:13
#ai #artificialintelligence #chatgpt #midjourney #llm #largelanguagemodels #largelanguagemodel
This is a short and very simple video I created to explain some of the concepts that go into large language models like Chat-GPT4. It covers various aspects of LLM artificial intelligence like foundations, architecture, pre-training, fine-tuning, tokenization, embeddings, self-attention, positional encoding, layers and headers, and decoding. The text was created with the use of chat gpt4. All of the images were created using Midjourney AI based on the text.
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๐ฅ Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=15Dec2023WhatIsPromptEngineering&utm_medium=DescriptionFirstFold&utm_source=youtube
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๐ฅAI Engineer Masters Program (Discount Code - YTBE15): https://l.linklyhq.com/l/1yhn3
๐ฅ Professional Certificate Program In Generative AI And Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=15Dec2023WhatIsPromptEngineering&utm_medium=DescriptionFirstFold&utm_source=youtube
Welcome to Simplilearn's Introduction to Prompt Engineering video! In this video, we'll take a few minutes to explain what prompt engineering is and why it's becoming a game-changer in the world of AI. From understanding the basics of prompt engineering to exploring some of the most common use cases, we'll cover everything you need to know to get started with this exciting topic. So, let's dive in and explore the world of prompt engineering together!
โ
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โฉ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
#WhatIsPromptEngineering #IntroductionToPromptEngineering #PromptEngineering #PromptEngineeringIntroduction #PromptEngineeringChatGPT #PromptEngineeringTutorial #AIML #MachineLearning #ML #ArtificialIntelligence #AI #Simplilearn
โก๏ธ 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.
โ
Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=15Dec2023WhatIsPromptEngineering&utm_medium=Description&utm_source=youtube
๐ฅ๐ฅ *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
โ
Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=15Dec2023WhatIsPromptEngineering&utm_medium=Description&utm_source=youtube
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๐ฅ Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=DescriptionFirstFold&utm_source=youtube
๐ฅIIT Kanpur Professional Certificate Course In AI And Machine Learning (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=DescriptionFirstFold&utm_source=youtube
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๐ Welcome to our comprehensive tutorial on Prompt Engineering for Beginners! ๐. Whether you're a coding enthusiast, a budding AI developer, or simply curious about the world of natural language processing, this tutorial is designed just for you! In this step-by-step guide, we'll walk you through the fundamentals of prompt engineering, a key concept in harnessing the capabilities of GPT-3.5. You'll gain hands-on experience crafting prompts that yield accurate and insightful responses from the model.
๐ What you'll learn:
1๏ธโฃ Understanding GPT-3.5: Get a brief overview of the GPT-3.5 language model, its capabilities, and how it processes information.
2๏ธโฃ Introduction to Prompt Engineering: Dive into the world of prompt engineering, learning how to craft effective prompts to elicit desired outputs.
3๏ธโฃ Practical Examples: Follow along with practical examples as we demonstrate the art of constructing prompts for various tasks, from text generation to problem-solving.
4๏ธโฃ Optimizing for Accuracy: Discover tips and tricks to fine-tune your prompts for optimal results, ensuring that GPT-3.5 understands and responds accurately.
โ
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โฉ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
#PromptEngineeringTutorialForBeginners #WhatIsPromptEngineering #IntroductionToPromptEngineering #PromptEngineering #PromptEngineeringIntroduction #PromptEngineeringChatGPT #PromptEngineeringTutorial #AIML #MachineLearning #ML #ArtificialIntelligence #AI #Simplilearn
โก๏ธ 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.
โ
Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=Description&utm_source=youtube
๐ฅ๐ฅ *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
โ
Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=Description&utm_source=youtube
5๏ธโฃ Common Pitfalls and Best Practices: Learn about potential challenges in prompt engineering and adopt best practices to overcome them.
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ก๐๐ญ๐๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐ข๐ง๐ง๐๐ซ๐ฌ ๐ญ๐จ ๐๐๐ฏ๐๐ง๐๐๐: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on ๐๐ก๐๐ญ๐๐๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ will talk about multiple use cases where you can use ChatGPT. There are several day to day applications where you can leverage ChatGPT to do the job for you. Below are some important ChatGPT applications covered in this ChatGPT tutorial:
00:00:00 Introduction
00:00:50 ChatGPT for Writing Code
00:02:25 ChatGPT for Code Debugging
00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
00:06:18 ChatGPT for Language Translation
00:07:01 ChatGPT for Writing Legal Documents
00:08:11 ChatGPT for College Assignments
00:08:37 ChatGPT to make Workout Schedule
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This video by Simplilearn on How ChatGPT Works?covers the mechanism behind ChatGPT. From this video, we will understand the evolution of chatGPT.Alongside we will learn about the algorithms and models behind chatGPT, how chatGPT can resolve problems in coding, advantages, and disadvantages of chatGPT.
Don't forget to take the quiz at 5:15!
โ
00:00 - How ChatGPT Works?
โ
00:57 - What is ChatGPT?
โ
01:20 - Evolution of ChatGPT
โ
01:55 - How does ChatGPT work?
โ
04:19 - Applications of ChatGPT
โ
04:42 - Limitations of ChatGPT
#HowChatGPTWorks #WorkingOfChatGPT #ChatGPTForBeginners #WhatIsChatGPT #ChatGPT #ChatGPTWorking #ChatGPTTutorial #GPT #OpenAI #AI #Simplilearn
GPT aka Generative Pre-training Transformer has come a long way. Before the introduction of GPT, Natural Language Processing was used to deal with specific tasks with large amounts of data.ChatGPT uses deep learning techniques to generate human-like text. It is based on the machine learning model derived from the class called the Large Language Model.
ChatGPT is a byproduct of instrutGPT. InstructGPT introduced a strategy for integrating human feedback into the training process to match model outputs. This innovative technology made chatGPT exceptional.ChatGPT possesses the ability to automate content creation on social media, create chatbots on e-commerce sites, provide medical assistance by acting as a symptom checker, write code, and assist a developer.
โ
Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
โฉ Check out more Artificial Intelligence videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
โก๏ธ 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.
โ
Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=14March2023HowChatGPTWorks&utm_medium=Description&utm_source=youtube
๐ฅ๐ฅ Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
Automate Excel Using ChatGPT | ChatGPT Excel Automation | ChatGPT Tutorial For Beginners|Simplilearn
๐ฅProfessional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=55kw8-o-3aI&utm_medium=DescriptionFirstFold&utm_source=Youtube
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In this Automate Excel using ChatGPT using Python, we will explore ChatGPT by OpenAI, which interacts conversationally. This ChatGPT Excel Automation will help you automate Excel, giving simple commands to ChatGPT. The ChatGPT tutorial for beginners will help you understand working with ChatGPT.
Here we start with:
00:00:00 Automate Excel using ChatGPT using Python
00:00:30 Quiz Question
00:01:02 Python Skillup Course
00:01:31 Introduction to ChatGPT
00:03:00 Login to ChatGPT
00:08:51 Concatenating Excel files using ChatGPT
00:20:00 Using SUM and AVERAGE functions using ChatGPT in Excel
00:29:45 Adding Prefix to phone numbers in Excel Sheet
00:36:42 Replacing value name from a group of excel workbooks
00:52:20 Group Data using Columns in Excel
01:10:13 Change Excel file name using Python using ChatGPT
01:13:58 Simplilearn Course
Link to excel files: https://github.com/abhisarahuj....a/automate_excel-_si
โ
The artificial intelligence research firm OpenAI created ChatGPT, a chatbot based on AI. The chatbot reacts in a human-like manner and can grasp simple language. It is based on the language model GPT-3.5. The prototype of the chatbot was unveiled on November 30, 2022.
#ChatGPT #ExcelAutomationUsingChatGPT #AutomationTutorial #ExcelAutomationTutorial #PythonExcel #ChatGPTExcel #ChatGPTAutomation #AutomationUsingChatGPT #AI #Simplilearn
๐ฅ Watch Top Trending Videos From Simplilearn:
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โ
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โฉ Check out the Artificial Intelligence Training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
โก๏ธ 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.
โ
Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=AutomateExcelUsingChatGPT-55kw8-o-3aI&utm_medium=Description&utm_source=youtube
๐ก Caltech AI & Machine Learning Bootcamp (For US Learners Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=AutomateExcelUsingChatGPT-55kw8-o-3aI&utm_medium=Description&utm_source=youtube
๐ฅ๐ฅ Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
Demystifying attention, the key mechanism inside transformers and LLMs.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
Special thanks to these supporters: https://www.3blue1brown.com/le....ssons/attention#than
An equally valuable form of support is to simply share the videos.
Demystifying self-attention, multiple heads, and cross-attention.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
The first pass for the translated subtitles here is machine-generated, and therefore notably imperfect. To contribute edits or fixes, visit https://translate.3blue1brown.com/
And yes, at 22:00 (and elsewhere), "breaks" is a typo.
------------------
Here are a few other relevant resources
Build a GPT from scratch, by Andrej Karpathy
https://youtu.be/kCc8FmEb1nY
If you want a conceptual understanding of language models from the ground up, @vcubingx just started a short series of videos on the topic:
https://youtu.be/1il-s4mgNdI?si=XaVxj6bsdy3VkgEX
If you're interested in the herculean task of interpreting what these large networks might actually be doing, the Transformer Circuits posts by Anthropic are great. In particular, it was only after reading one of these that I started thinking of the combination of the value and output matrices as being a combined low-rank map from the embedding space to itself, which, at least in my mind, made things much clearer than other sources.
https://transformer-circuits.p....ub/2021/framework/in
Site with exercises related to ML programming and GPTs
https://www.gptandchill.ai/codingproblems
History of language models by Brit Cruise, ย @ArtOfTheProblemย
https://youtu.be/OFS90-FX6pg
An early paper on how directions in embedding spaces have meaning:
https://arxiv.org/pdf/1301.3781.pdf
------------------
Timestamps:
0:00 - Recap on embeddings
1:39 - Motivating examples
4:29 - The attention pattern
11:08 - Masking
12:42 - Context size
13:10 - Values
15:44 - Counting parameters
18:21 - Cross-attention
19:19 - Multiple heads
22:16 - The output matrix
23:19 - Going deeper
24:54 - Ending
------------------
These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/
All code for specific videos is visible here:
https://github.com/3b1b/videos/
The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.
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In this comprehensive exploration of the field of deep learning with Professor Simon Prince who has just authored an entire text book on Deep Learning, we investigate the technical underpinnings that contribute to the field's unexpected success and confront the enduring conundrums that still perplex AI researchers.
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
Watch behind the scenes, get early access and join private Discord by supporting us on Patreon:
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https://twitter.com/MLStreetTalk
Key points discussed include the surprising efficiency of deep learning models, where high-dimensional loss functions are optimized in ways which defy traditional statistical expectations. Professor Prince provides an exposition on the choice of activation functions, architecture design considerations, and overparameterization. We scrutinize the generalization capabilities of neural networks, addressing the seeming paradox of well-performing overparameterized models. Professor Prince challenges popular misconceptions, shedding light on the manifold hypothesis and the role of data geometry in informing the training process. Professor Prince speaks about how layers within neural networks collaborate, recursively reconfiguring instance representations that contribute to both the stability of learning and the emergence of hierarchical feature representations. In addition to the primary discussion on technical elements and learning dynamics, the conversation briefly diverts to audit the implications of AI advancements with ethical concerns.
Pod version (with no music or sound effects): https://podcasters.spotify.com..../pod/show/machinelea
Follow Prof. Prince:
https://twitter.com/SimonPrinceAI
https://www.linkedin.com/in/si....mon-prince-615bb9165
Get the book now!
https://mitpress.mit.edu/97802....62048644/understandi
https://udlbook.github.io/udlbook/
Panel: Dr. Tim Scarfe -
https://www.linkedin.com/in/ecsquizor/
https://twitter.com/ecsquendor
TOC:
[00:00:00] Introduction
[00:11:03] General Book Discussion
[00:15:30] The Neural Metaphor
[00:17:56] Back to Book Discussion
[00:18:33] Emergence and the Mind
[00:29:10] Computation in Transformers
[00:31:12] Studio Interview with Prof. Simon Prince
[00:31:46] Why Deep Neural Networks Work: Spline Theory
[00:40:29] Overparameterization in Deep Learning
[00:43:42] Inductive Priors and the Manifold Hypothesis
[00:49:31] Universal Function Approximation and Deep Networks
[00:59:25] Training vs Inference: Model Bias
[01:03:43] Model Generalization Challenges
[01:11:47] Purple Segment: Unknown Topic
[01:12:45] Visualizations in Deep Learning
[01:18:03] Deep Learning Theories Overview
[01:24:29] Tricks in Neural Networks
[01:30:37] Critiques of ChatGPT
[01:42:45] Ethical Considerations in AI
References:
#61: Prof. YANN LECUN: Interpolation, Extrapolation and Linearisation (w/ Dr. Randall Balestriero)
https://youtube.com/watch?v=86ib0sfdFtw
Scaling down Deep Learning [Sam Greydanus]
https://arxiv.org/abs/2011.14439
"Broken Code" a book about Facebook's internal engineering and algorithmic governance [Jeff Horwitz]
https://www.penguinrandomhouse.....com/books/712678/br
Literature on neural tangent kernels as a lens into the training dynamics of neural networks.
https://en.wikipedia.org/wiki/....Neural_tangent_kerne
Zhang, C. et al. "Understanding deep learning requires rethinking generalization." ICLR, 2017.
https://arxiv.org/abs/1611.03530
Computer Vision: Models, Learning, and Inference, by Simon J.D. Prince
https://www.amazon.co.uk/Compu....ter-Vision-Models-Le
Deep Learning Book, by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
https://www.deeplearningbook.org/
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
https://arxiv.org/abs/2210.00881
Computer Vision: Algorithms and Applications, 2nd ed. [Szeliski]
https://szeliski.org/Book/
A Spline Theory of Deep Networks [Randall Balestriero]
https://proceedings.mlr.press/....v80/balestriero18b/b
DEEP NEURAL NETWORKS AS GAUSSIAN PROCESSES [Jaehoon Lee]
https://arxiv.org/abs/1711.00165
Do Transformer Modifications Transfer Across Implementations and Applications [Narang]
https://arxiv.org/abs/2102.11972
ConvNets Match Vision Transformers at Scale [Smith]
https://arxiv.org/abs/2310.16764
Dr Travis LaCroix (Wrote Ethics chapter with Simon)
https://travislacroix.github.io/
Qual a diferenรงa entre Inteligรชncia Artificial, Machine Learning e Deep Learning?
Neste vรญdeo trato das diferenรงas que existem entre as tecnologias de Inteligรชncia Artificial, Aprendizado de Mรกquina e Aprendizado Profundo, alรฉm de abordar as aplicaรงรตes de cada tecnologia.
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This Edureka SQL Full Course video will cover all the topics of Structured Query Language (SQL) starting from scratch. This SQL tutorial for beginners is great for beginners who want to learn SQL and for professionals who want to brush up on their SQL skills.
00:00:00 Introduction
00:05:51 What is SQL?
00:18:02 SQL Operators
00:52:27 Normalization in SQL
01:03:55 Triggers In SQL
01:16:07 SQL Joins
01:38:20 SQL Functions
03:05:48 SQL vs MySQL
03:53:50 Basics of SQL
04:11:04 SQL vs NoSQL
04:16:34 SQL For Data Science
04:23:14 PostgreSQL
06:31:00 SQL Server
08:10:30 Introduction to SQLAlchemy
08:15:56 How to use SQLAlchemy with Python?
08:20:32 SQL Interview Questions and Answers
09:11:32 SQL Server Interview Questions and Answers
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