Get ready for the future of AI with AutoGPT! In this mind-blowing video, we reveal the groundbreaking techniques to transform GPT-4 into a powerful, self-learning AI that's capable of revolutionizing the way we live, work, and play. 🤯
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We also discuss
-What is autogpt
-how to use autogpt
-autogpt vs chatgpt
-How does auto gpt work
-how to set up auto gpt
-How to turn gpt 4 into a powerful self learning autonomous ai
-some exmaples of auto gpt

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What are Fine-tuning and Embeddings in GPT-3 and how are they useful?
Explained and demonstrated here in 5 minutes in plain, simple English.

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This video on "Tableau Expert Full Course" will help beginners to learn the Tableau Fundamentals with a detailed theoretical explanation. The Tableau training video includes practical examples and extensive demo sessions for a better learning experience. This Tableau tutorial will help you master tableau from scratch.

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00:00:00 - 00:01:41 - Getting started
00:01:41 - 00:17:43 - Introduction to Tableau
00:17:43 - 00:39:15 - Data connections in Tableau
00:39:15 - 00:46:23 - Data joining and Blending using Tableau
00:46:23 - 00:51:35 - Data extracts in Tableau
00:51:35 - 00:56:37 - Data sources and Kerberos authentication
00:56:37 - 01:00:39 - Optimizing Performance
01:00:39 - 01:24:32 - Calculation in Tableau
01:24:32 - 01:48:34 - Aggregations and Table calculation using Tableau
01:48:32 - 02:00:56 - Box plots
02:00:56 - 02:17:05 - Formatting and Annotations
02:17:05 - 02:45:49 - Filtering Data
02:45:49 - 02:48:19 - Sorting of Data
02:48:19 - 02:54:47 - Combined fields, Groups and Sets
02:54:47 - 02:59:45 - Hierarchy and Drill Down in Tableau
02:59:45 - 03:05:53 - Grand totals and subtotals
03:05:53 - 03:51:55 - Mapping, Data Blending and Sorting
03:51:55 - 04:05:30 - Date Hierarchies
04:05:30 - 04:31:18 - What are parameters in Tableau?
04:31:18 - 04:52:08 - What are LOD expressions in Tableau?
04:52:08 - 07:23:48 - Tableau Dashboard Use Cases
07:23:48 - 08:26:56 - Tableau Interview Questions

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This Edureka video on "Artificial Intelligence Full Course" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
00:00:00 Introduction
00:01:16 Agenda
00:02:22 What is AI
00:15:38 Examples of AI
00:21:16 Deep learning IS machine learning
00:26:53 AI Explained
00:28:19 AI Vs ML Vs DL
00:29:09 Importance of AI
00:31:23 Types of AI
00:32:53 Applications of AI
00:37:33 Domains of AI
00:40:21 Job Profiles in AI
00:43:54 Object Detection
00:55:28 How to become an AI Engineer
01:07:55 Stages of AI
01:12:54 Domains of AI
01:15:42 AI With Python
01:38:50 Introduction to ML
01:49:42 Types of ML
01:59:13 ML Algorithm
02:14:17 Limitations of ML
02:16:15 Introduction to DL
02:20:09 Use Cases of DL
02:43:05 NLP
02:47:13 What is NLP
02:48:13 Applications of NLP
03:05:56 TensorFlow Explained
03:15:41 TensorFlow
03:22:17 Hands-On
03:30:48 Convolutional Neural Networks
03:36:00 Convolutional Layer
03:46:44 Use Cases
03:56:25 What are Artificial Neural Networks
04:08:43 Training a Neural Network
04:20:05 Applications of Neural Network
04:23:11 Recurrent Neural Network
04:35:10 Long Short-Term Memory Networks
04:44:47 Long Short-Term Memory Networks - Use Case
04:52:04 Keras
05:02:40 Use Case With Keras
05:17:10 A* Algorithm in AI
05:41:52 Cognitive AI
05:46:51 COgnitive AI - Use Cases
05:50:14 Q Learning Explained
06:04:49 Transitioning to Q Learning
06:16:37 Water Jug Problem in AI
06:38:21 ChatGpt Explained
06:47:59 Dangers of AI
06:53:48 What AI is Like Right Now?
07:00:28 Mid-term dangers
07:08:43 What Does the Future Hold
07:10:41 Knowledge Representation in AI
07:26:10 Hill Climbing Algorithm
07:55:20 TOp 10 APplications of AI
08:09:59 Top 10 AI technologies
08:19:03 Top 10 Benefits of AI
08:30:52 AI Roadmap
08:42:21 AI Interview Questions & Answers

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Learn Python programming in this complete course for beginners. This tutorial features mini-projects throughout so you can put what you learn into use immediately.

💻 Resources: https://github.com/gitdagray/python-course

✏️ Course developed by @DaveGrayTeachesCode

⭐️ Contents ⭐️
(0:00:00) Intro
(0:01:23) Chapter 1 - Getting Started
(0:14:50) Chapter 2 - Python Basics
(0:29:58) Chapter 3 - Operators
(0:46:18) Chapter 4 - Data Types
(1:23:25) Chapter 5 - User Input
(1:45:31) Chapter 6 - Lists & Tuples
(2:17:00) Chapter 7 - Dictionaries & Sets
(2:46:23) Chapter 8 - Loops
(3:09:03) Chapter 9 - Functions
(3:23:48) Chapter 10 - Recursion
(3:41:11) Chapter 11 - Scope
(4:00:30) Chapter 12 - Closures
(4:19:32) Chapter 13 - f-Strings
(4:42:15) Chapter 14 - Modules
(4:59:47) Chapter 15 - Command Line Arguments
(5:20:39) Chapter 16 - Challenges
(5:35:59) Chapter 17 - Lambda & Higher Order Functions
(5:56:45) Chapter 18 - Classes & Objects
(6:15:44) Chapter 19 - Exceptions & Errors
(6:27:29) Chapter 20 - OOP Project
(6:57:15) Chapter 21 - Virtual Environments & PIP
(7:27:23) Chapter 22 - File Operations
(7:49:32) Chapter 23 - Final Project


🎉 Thanks to our Champion and Sponsor supporters:
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐋 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄
This Video covers the Different Trending Machine Learning Projects in the industry that are open source and are helpful to gain knowledge of machine learning and deep learning. This video also covers the practical implementation of Machine Learning in a few real-life scenarios.

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From the "713: Llama 2, Toolformer and BLOOM: Open-Source LLMs", in which Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host @JonKrohnLearns he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.

Watch, listen to, or read the full episode at https://www.superdatascience.com/713

🔥 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/machine-lea (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This "Artificial Intelligence Full Course" video covers everything about AI, from basics like machine learning and neural networks to advanced topics in computer vision and natural language processing. It's designed for all levels, packed with explanations, coding demos, and real-world insights to make AI understandable and exciting for beginners and experienced enthusiasts alike.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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