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LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models). In this crash course for LangChain, we are going to cover the following topics,
00:00 Introduction
00:22 What is Langchain?
04:38 Langchain installation and setup
06:28 LLMs, Prompt Templates
10:12 Chains
11:57 Simple Sequential Chain
15:30 Sequential Chain
18:00 Build Streamlit App
27:40 Agents
37:24 Memory
Link to the source code: https://codebasics.io/resource....s/langchain-crash-co
Langchain tutorial playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
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🔥Edureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00 Introduction
00:36 Agenda
00:47 Introduction to NLP
01:46 Ways to Process Text Data
02:57 Recurrent Neural Networks
22:02 Long Short-term Memory
51:46 LSTM Use Cases
53:45 Real Time Applications of LSTM
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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!
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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.
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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.
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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.
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00 Introduction
00:18 Agenda
02:35 Introduction to NLP
04:08 Ways to process Text Data
05:55 Recurrent Nuetral Networks
16:06 Long Short-term Memory
17:17 LSTM Use Cases
18:15 Name Entity Recognition
20:55 Sentiment Analysis
22:50 Machine Translation
24:19 Hands-on
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a 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 the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.
What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 will explain what ChatGPT is all about. In this ChatGPT tutorial, you will learn about how ChatGPT works and the language model that ChatGPT uses.
ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.
⏩ Edureka ChatGPT Explained Playlist: http://bit.ly/3HGRy3G
#ChatGPTCrashCourse #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
🔵 About Edureka ChatGPT Certification Training Course
Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.
🔵 Why take up the Online ChatGPT Certification Course?
Interested individuals can opt for the Online ChatGPT Certification course as this course provides:
Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.
Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.
Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.
Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.
🔵 Who should take up this ChatGPT Certification Course?
The ChatGPT Certification Course is suitable for a wide range of individuals, including:
AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.
Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.
Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.
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Are you confused about What are Large Language models (LLMs)?
Which LLM to use according to your problem statement?
Which LLM is affordable and Which LLM is Open Source?
What are Top LLMs in Market today 2023?
Then this video is your solution!, Join me on an exciting journey into the world of Large Language Models (LLMs) and their impact on Artificial Intelligence. In this video, we delve deep into the capabilities of cutting-edge LLMs, their applications in Generative AI, and how they are transforming the fields of Content Generation, Software Development, Data Science, and many more domains. Discover the power of language generation, natural language processing, and creative AI. Stay up-to-date with the latest advancements in AI and explore the endless possibilities with Large Language Models. Don't miss this opportunity to expand your knowledge and explore the limitless potential of AI-driven language technologies.
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🔥 Edureka Big Data Courses: https://www.edureka.co/big-data-and-analytics
This Edureka video gives you a brief introduction to Big Data and how it is revolutionizing in various domains. In this quick guide, the following topics will be covered:
1. What Is Big Data?
2. Popular Use case of Big Data
3. Career Prospects in Big Data
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Become an expert in the exciting new world of Big Data, get trained in cutting edge technologies, and work on real-life industry-grade projects.
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Why BIG Data?
The adoption of Big Data is growing across industries, which has resulted in an increased demand for Big Data Engineers. However, the supply is inadequate, leading to a large number of job opportunities. In this environment, professionals with appropriate skills can command higher salaries.
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PG Program in Big Data Engineering
1. Ranked 2nd among NITs by MHRD
2. Recognized as an Institute of National Importance
3. Ranked among the Top 150 universities in Asia by Times Higher Education World University Rankings
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Program Features
1. Mentorship from NITR faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects
1. Retail: Forecasting Trends and Demand
2. Finance/Banking: Predictive Analytics & Fraud Detection
3. Social Media: Sentiment Analysis
-----------------------------------------------
Mentors & Instructors
Ashok Kumar Turk
Professor | NITR
Bibhudatta Sahoo
Associate Professor | NITR
Korra Sathya Babu
Assistant Professor Grade-I | NITR
--------------------------------------------
Is this program for me?
If you’re passionate about Big Data Engineering and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top for a career in Big Data Engineering.
Is there any eligibility criteria for this program?
A potential candidate must have a Bachelor’s Degree preferably in BCA, MCA, and B.Tech.
Will I get any certificate at the end of the course?
Yes, you will receive a Post-Graduate industry-recognized certificate from NIT Rourkela upon the 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).
Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy
⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?
🛠️ Explore ProjectPro
https://bit.ly/3q837w8
👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.
🎓 My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer
✔️ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N
📊 How I'm using data to track my health
https://join.whoop.com/datalumina
🔗 Let's Connect
https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/
📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter
#ai #roadmap #datalumina
📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.
With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.
The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.
Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.
For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.
Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts.
Resources:
Try out Bard → https://goo.gle/420KQhw
What is a Transformer? → https://goo.gle/3VABlDw
Subscribe to Google Developers → https://goo.gle/developers
#MachineLearning #MLmodels #LLMs #GenerativeAI
A combination of Prompt Engineering and ChatGPT to learn the internals and technology behind large language models powering the new era of Artificial Intelligence.
A List of all prompts and keywords use in this video:
- https://github.com/prodramp/De....epWorks/blob/main/Ch
== Video Timeline ==
(00:00) Content Intro
(01:30) ChatGPT
(02:43) Transformer architecture
(09:10) Keywords Generation
(13:38) Text embedding
(17:43) Encoder and Decoder
(18:32) Self attention
(18:45) Multi-head self attention
(21:56) PyTorch Code Multi-head self attention
(23:37) Scaled Dot Product Attention
(27:45) Key deep learning methods
(28:53) Large language models
(29:49) LLM Parameter Count (Python Code)
(31:38) DALL-E large language model
(33:17) Key Differences DALL-E & ChatGPT
(34:20) List all Prompts
(34:40) ChatGPT Session Summary
Please visit:
https://prodramp.com | @prodramp
https://www.linkedin.com/company/prodramp
Content Creator:
Avkash Chauhan (@avkashchauhan)
https://www.linkedin.com/in/avkashchauhan
Tags:
#llm #chatgpt #promptengineering #openai #python #artificialintelligence
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🚀 Welcome to our comprehensive tutorial on Prompt Engineering for Beginners! 🚀. 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.
🔍 What you'll learn:
1️⃣ Understanding GPT-3.5: Get a brief overview of the GPT-3.5 language model, its capabilities, and how it processes information.
2️⃣ Introduction to Prompt Engineering: Dive into the world of prompt engineering, learning how to craft effective prompts to elicit desired outputs.
3️⃣ Practical Examples: Follow along with practical examples as we demonstrate the art of constructing prompts for various tasks, from text generation to problem-solving.
4️⃣ Optimizing for Accuracy: Discover tips and tricks to fine-tune your prompts for optimal results, ensuring that GPT-3.5 understands and responds accurately.
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ 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
➡️ 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.
✅ 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
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=Description&utm_source=youtube
5️⃣ Common Pitfalls and Best Practices: Learn about potential challenges in prompt engineering and adopt best practices to overcome them.
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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!
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ 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
➡️ 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.
✅ 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
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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In this video on What Is LangChain,we will cover what LangChain is, why we need LangChain, how does LangChain work, and some applications of LangChian and at last we will see the demo part in which we covered how you chain your outside resources using LLM's (OpenAI Chatgpt). LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models).
Below are the topics covered in this LangChain tutorial:
00:00 LangChain Explained in 14 Minutes
00:04 Introduction to LangChain
02:48 What is LangChain ?
03:43 Why do we need LangChain?
04:34 How does LangChain Work?
05:43 Use cases of LangChain
07:13 LangChain Demo Explained
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
#LangChain #AITrainingforBeginners #AITraining #AI #ArtificialIntelligence #Simplilearn
➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Statistics
- Python
- Supervised Learning
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- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision
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#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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ChatGPT Full Course 2024 by simplilearn is a latest variant of ChatGPT Full Course. the couse will guide the aspiring AI Engineers to learn the critical AI and machine learning and ChatGPT AI models from the very Basic To Advanced This ChatGPT Tutorial by simplileatn will cover how to use ChatGPT 4 Omni, Data Analysis with chatGPT, programming with chatgpt, automation with chatgpt and much more. The ChatGPT full course with 4 Omni demonstration will cover the following topics:
00:00:00 ChatGPT Full Course For Beginners 2023
00:02:22 Top AI Tools
00:00:07:50 What is GPT 4?
00:13:52 Automate Excel using ChatGPT
01:24:12 How to Build a Website Using ChatGPT
02:06:35 How To Use ChatGPT For Web Development
02:32:22 Can ChatGPT Solve LeetCode Problems?
04:02:21 Create a Telegram Bot Using ChatGPT
04:19:21 Automate WhatsApp using ChatGPT
04:29:45 Build a Game using Python and ChatGPT
04:54:25 ChatGPT in Cybersecurity
05:24:09 ChatGPT for UI/UX Design
06:10:28 How to use ChatGPT for SEO?
07:02:19 Chat GPT for Content Creation
07:06:14 Master SEO Content Using ChatGPT
7:11:53 Explore 10 Mind-Blowing GPTs Inside ChatGPT - WebPilot Will Amaze You
7:23:43 OpenAI ChatGPT-4o
7:40:21 How To Use ChatGPT Memory ?
7:45:51 ChatGPT For Voice Activated AI Assiatant
7:58:04 How To Use ChatGPT Plugins - Step-By-Step Guide
8:07:15 ChatGPT 4.0 vs Gemini 1.5
8:17:11 WEB SCRAPPING Using CHATGPT
8:21:38 How To Use AI In Excel ?
8:52:36 ChatGPT Made This Excel Dashboard 😱😱
9:03:03 How To Write Resume Using ChatGPT
9:08:40 What Is Multimodal AI?
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➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
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- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
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✅ Skills Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
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- Keras
- OpenCV
- And Many More…
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How ChatGPT is Trained
In this video, we take a look at how ChatGPT is trained. ChatGPT is a large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. It is trained on a massive dataset of text and code, and it is able to learn and adapt to new information.
blog link: https://www.linkedin.com/pulse..../discover-how-chatgp
Also check
Is Bard better than chatgpt : https://www.youtube.com/watch?v=Ae6q7v7pOxM&t=673s&pp=ygULa3Jpc2ggbmFpayA%3D
Timestamp
00:00:00 Introduction
00:03:25 3 stages of training
00:07:25 Generative Pretraining
00:09:36 Supervised Fine Tuning
00:13:18 Reinforcement Learning Through Human Feedbacks
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Large Language Models like ChatGPT have remarkable abilities to generate content based on training data but do they have actual intelligence? Find out more about how LLM's and Chatbots work as we explore this question.
Featuring:
Mira Murati the CTO of OpenAI
Cristóbal Valenzuela the creator of Runway
Presented by: Code.org, ETS, ISTE, Khan Academy
Start learning today!
https://code.org/ai/how-ai-works
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