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This Video on Data Analytics Full Course by simplilearn will help you learn everythin you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating PowerBI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.

0:00:00 Introduction to Data Analyst Full Course
0:01:24 What is Data Analytics
0:09:42 Data Analyst Roadmap
0:13:23 Steps Involved in Data Analytics
0:15:27 Data Science Vs Data Analyst
0:25:50 Data Science Vs Data Analyst
0:26:58 What is DBMS
0:37:41 What is DBMS
0:38:30 Top BI Terms every data analyst know
0:44:25 Top BI Terms every data analyst know
0:58:22 Create PowerBI Dashboard in minutes
1:43:37 Who is a Data Analyst till R or Python
3:22:54 Data Analysis with Python
3:39:15 Data Transformation
7:04:13 Data Manipulation In R
7:19:50 Chatgpt and Excel with Data Analytics
7:20:00 Data Analytics using AI
7:42:23 Data Analytics using AI
7:45:40 SQL Introduction
7:55:36 Normalization in SQL
8:07:31 SQL CTE
8:56:37 Data Analytics INterview Questions

✅ What is Data Analytics?

Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.

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This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Statistical Analysis using Excel
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Direct Preference Optimization (DPO) is a method used for training Large Language Models (LLMs). DPO is a direct way to train the LLM without the need for reinforcement learning, which makes it more effective and more efficient.
Learn about it in this simple video!

This is the third one in a series of 4 videos dedicated to the reinforcement learning methods used for training LLMs.

Full Playlist: https://www.youtube.com/playli....st?list=PLs8w1Cdi-zv

Video 0 (Optional): Introduction to deep reinforcement learning https://www.youtube.com/watch?v=SgC6AZss478
Video 1: Proximal Policy Optimization https://www.youtube.com/watch?v=TjHH_--7l8g
Video 2: Reinforcement Learning with Human Feedback https://www.youtube.com/watch?v=Z_JUqJBpVOk
Video 3 (This one!): Deterministic Policy Optimization

00:00 Introduction
01:08 RLHF vs DPO
07:19 The Bradley-Terry Model
11:25 KL Divergence
16:32 The Loss Function
14:36 Conclusion

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Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 3 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Recap of the SLM architecture
2. 18:30 Calculating the SLM Loss
3. 58:27 SLM Pre-training loop: Theory + Coding
4. 01:23:00 SLM Inference

If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024.

Yann Dubois
PhD Student at Stanford
https://yanndubs.github.io/

About the speaker: Yann Dubois is a fourth-year CS PhD student advised by Percy Liang and Tatsu Hashimoto. His research focuses on improving the effectiveness of AI when resources are scarce. Most recently, he has been part of the Alpaca team, working on training and evaluating language models more efficiently using other LLMs.

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Chapters:
00:00 - Introduction
00:10 - Recap on LLMs
00:16 - Definition of LLMs
00:19 - Examples of LLMs
01:16 - Importance of Data
01:20 - Evaluation Metrics
01:33 - Systems Component
01:41 - Importance of Systems
01:47 - LLMs Based on Transformers
01:57 - Focus on Key Topics
02:00 - Transition to Pretraining
03:02 - Overview of Language Modeling
04:17 - Generative Models Explained
05:15 - Autoregressive Models Definition
06:36 - Autoregressive Task Explanation
07:49 - Training Overview
08:48 - Tokenization Importance
10:50 - Tokenization Process
13:30 - Example of Tokenization
16:00 - Evaluation with Perplexity
20:50 - Current Evaluation Methods
24:30 - Academic Benchmark: MMLU

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🔵 Here is a breakdown of the topics covered in the video:
00:00:00 - Introduction
00:06:27 - Introdution to lIBA / CAP
01:26:14 - Introduction to Business Analysis Planning and Monitoring
01:40:53 - Plan Business Analysis Approach & Stakeholder Engagement
03:10:34 - Plan Business Analysis Governance & Information Management
03:31:20 - Identify Business Analysis Performance Improvements
04:35:39 - What is Elicitation?
04:35:53 - Concept Modeling
05:35:03 - Requirements Life Cycle Management
06:06:02 - What is Strategy & Strategy Analysis
04:46:02 - Requirement Analysis and Design
07:52:40 - Requirement Modelling
09:22:55 - Business Analyst Interview Question

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In this Linux Administration Tutorial video, you will learn what is Linux, how to install Linux, how to setup kernel parameters, how to install & remove software, RPM in Linux, various commands in Linux, and various Linux services & systems in detail.

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The following topics are covered in this video:
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00:38:00 - Introduction to Linux
00:11:42 - Basics of Shell
00:17:47 - Top Shells in Linux
00:21:49 - Basics of Kernal
00:28:01- How to Install Linux?
00:29:39 - Quiz
00:59:54 - Quiz
01:17:22 - Basic Linux Commands
01:32:54 - Linux UI vs Terminal
01:37:14 - How to login to remote Linux?
01:41:46 - How to run a command as admin in Linux?
01:45:05 - Good to know commands in Linux
01:53:42 - Displaying - using Echo
02:00:08 - Set and unset a Variable
02:11:51 - Using Expr
02:17:15 - Header File of Shell Script - using Shebang (#!)
02:20:49 - Text Editors and Creating a File
02:25:24 - Hands-on: Creating and saving a file in Vim
02:28:21 - Understanding Linux File Permissions
02:47:17 - Chmod and Chown
03:00:41 - Displaying content in a File
03:11:46 - Unix Process Control Commands
03:34:41 - Linux Shell Scripting Tutorial
04:28:12 - Shell Scripting: Loops and Iterations
05:16:09 - Unix vs Linux
05:22:57 - Linux Interview Questions

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Got any questions about the Linux course or how to download Linux? Ask us in the comment section below.
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The Generative AI Full Course 2025 provides a structured learning path from fundamentals to advanced AI concepts. Begin with What is Gen AI?, the Evolution of AI, and AI Careers in 2025. Explore DeepSeek R1, Deep Learning, and the Generative AI Roadmap to understand key trends. Dive into Search GPT, LangChain, and GANs (Generative Adversarial Networks), along with Transformers, LSTM, and LLMs. Strengthen your foundation with Machine Learning & Reinforcement Learning Tutorials. Advanced topics include Recurrent Neural Networks (RNNs), ChatGPT Analysis, OpenAI Sora, LLM Benchmarking, and Hugging Face. Conclude with Agentic AI, Google Quantum AI, and Top AI Tools for Job Interviews, ensuring industry readiness.

Following are the topics covered in the Gen AI Full Course for 2025:

00:00:00 Introduction to Gen AI Full Course 2025
00:00:45 What is Gen AI
00:11:17 Evolution of AI
00:22:02 AI Careers in 2025
00:44:49 Deepseek r1
00:51:48 Deep Learning
00:53:15 Roadmap Gen AI
01:09:58 Search GPT
01:12:13 Langchain
02:08:48 Generative Adversarial Tutorial
02:18:10 What are Gans
02:19:11 Transformers in AI
02:31:40 LSTM
02:33:04 Introduction to LLM
03:34:17 What is Machine Learning
04:30:49 Machine Learning Tutorial For Beginners
06:36:12 Reinforcement Learning
08:05:51 Recurrent Neural Network
08:25:42 Chatgpt analyze
08:36:38 Openai sora
08:45:31 LLM Benchmarking
09:36:14 Hugging Face and its tutorial
09:51:38 Open ai chatgpt o1 model
09:52:19 Top 10 AI Technologies
10:05:29 Gen ai tools for job interview
10:42:31 Agentic AI
10:50:54 Google Quantum AI

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

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Get the guide to GAI, learn more → https://ibm.biz/BdKTbF
Learn more about the technology → https://ibm.biz/BdKTbX

Join Cedric Clyburn as he explores the differences and use cases of Retrieval Augmented Generation (RAG) and fine-tuning in enhancing large language models. This video covers the strengths, weaknesses, and common applications of both techniques, and provides insights on how to choose between them using machine learning and natural language processing principles

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://www.ibm.com/account/re....g/us-en/signup?formi

#AI #LargeLanguageModels #FineTuning #RAG #ReinforcementLearning #MachineLearning #NaturalLanguageProcessing

Learn about JavaScript functions in this full course for beginners. Functions are a fundamental building block of programming, and they're a great way to make your code more readable and maintainable.

✏️ Course developed by @tapasadhikary

We will cover the following:
✅ What and Why JavaScript Functions
✅ Clarifying Terminologies(function vs methods, parameter vs arguments, and many more!)
✅ Function Declarations
✅ Function Executions
✅ Default Parameter
✅ Rest Parameter
✅ Call Stack
✅ Arrow Function
✅ Nested Function
✅ Function Scope
✅ Closure
✅ Callback Function
✅ Higher-Order Function
✅ Pure Function
✅ IIFE
✅ Recursion

⭐️ Contents ⭐️
(0:00:00) Welcome to JavaScript Function Crash Course
(0:01:52) How To Take This Course?
(0:03:10) What Are JavaScript Functions? Let Me Tell You a Story.
(0:07:04) Learn JavaScript Functions Visually.
(0:10:49) JavaScript Terminologies You Must Know
(0:12:02) How To Declare a Function?
(0:23:03) How To Return From a Function?
(0:27:14) Default Parameters For JavaScript Functions
(0:30:20) Rest Parameters For JavaScript Functions
(0:33:48) JavaScript Arrow Functions
(0:38:30) Nested Functions in JavaScript
(0:41:17) Understanding JavaScript Function Scope
(0:49:35) Mastering JavaScript Closure With Easy Guide
(0:59:27) What are Callback Functions in JavaScript?
(1:06:03) What are Higher Order Functions(HOF) in JavaScript?
(1:12:32) What is a Pure Function in JavaScript?
(1:16:34) What is an IIFE In JavaScript?
(1:21:30) Learn JavaScript Call Stack(Function Execution Stack)
(1:27:25) What is Recursion in JavaScript?
(1:35:16) Closing Notes and What's From Here?

🎉 Thanks to our Champion and Sponsor supporters:
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Welcome to the most comprehensive Cyber Security Course For 2023! In this cutting-edge video series, we've meticulously curated an all-encompassing curriculum to equip you with the latest tools and techniques to defend against the ever-evolving threats in the digital landscape. With cyber attacks becoming increasingly sophisticated, it's imperative to stay ahead of the curve. Whether you're a beginner or an experienced professional, this course has something for everyone. You'll delve into the fundamentals of cybersecurity, network security, cryptography, ethical hacking, and much more. Our team of expert instructors will guide you through hands-on labs and real-world scenarios to enhance your practical skills. Learn to safeguard systems, protect sensitive data, and fortify against malicious intrusions. Stay ahead in the cybersecurity game and safeguard your digital assets with this Complete Cyber Security Course for 2023. Don't let cyber threats hold you back. Join us now and become a cybersecurity guardian!

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➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

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🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition

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00:01:00 Agenda
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00:02:38 Prerequisites
00:03:30 React.js Concepts
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00:08:00 Project Ideas

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: https://www.edureka.co/ai-deep....-learning-with-tenso (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Video on Logistic Regression in Python will give you a basic understanding of the Logistic Regression Machine Learning Algorithm with examples. In this video, you will also get to see a demo on Logistic Regression using Python.
00:00:00 Introduction
00:01:18 What is Regression?
00:03:25 Logistic Regression: What and Why?
00:08:45 Linear vs Logistic Regression
00:10:18 Use Cases
00:12:16 Demo


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🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔵 Angular Online Training: http://bit.ly/3EYcCTe

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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When will we have AGI, or human-level AI? That's the question on everyone's minds, and in this video I gathered together predictions from various experts to try to come up with an answer.

The temptation as humans is to look at progress in the past when predicting progress in the future. But this assumes a linear technological progress, which is not the case. Technology advances exponentially. Creating predictions that take this exponential growth into account is very difficult, especially because each individual technology advances through an S-curve and eventually levels out, giving way to newer technologies.

Hence, a lot of predictions are going to be too high because they assume linear progress. The trick is to exclude the predictions that are too high while not jumping to the most optimistic predictions immediately. At the end of the video, I make my own prediction about the arrival of AGI.


Scaling up learning across many different robot types
https://deepmind.google/discov....er/blog/scaling-up-l

How Soon is Now? Predicting the Expected Arrival Date of AGI- Artificial General Intelligence
https://papers.ssrn.com/sol3/p....apers.cfm?abstract_i

"AGI within 18 months" explained with a boatload of papers and projects
https://www.youtube.com/watch?v=YXQ6OKSvzfc

Alan’s conservative countdown to AGI
https://lifearchitect.ai/agi/

7 AI-Experts Predicting Short Timelines… Is Life-Changing AI Months Away, Not Years?
https://www.linkedin.com/pulse..../7-ai-experts-predic

When will the first general AI system be devised, tested, and publicly announced?
https://www.metaculus.com/ques....tions/5121/date-of-a

Shane Legg (DeepMind Founder) - 2028 AGI, Superhuman Alignment, New Architectures
https://www.youtube.com/watch?v=Kc1atfJkiJU

Google AI Chief Says There’s a 50% Chance We’ll Hit AGI in Just 5 Years
https://futurism.com/google-deepmind-agi-5-years

OpenAI CEO: When will AGI arrive? | Sam Altman and Lex Fridman
https://www.youtube.com/watch?v=ZgN7ZYUxcXM

#agi #ai #singularity

0:00 Intro
0:23 Contents
0:28 Part 1: Definitions
0:58 AGI is about generality
1:29 Adversarial definitions of AGI
2:12 S-curves of technological progress
2:58 Hype cycle
3:22 Can LLMs take us all the way to AGI?
4:22 Part 2: Historical attitudes
4:44 LLMs changed people's predictions
5:03 Linear view of history
5:39 Example: one year before the singularity
6:03 Discounting linear predictions
6:40 Timeline: Metaculus average
7:05 Timeline: Oxford economic modeling
7:54 Wisdom of crowd says 2032, 2041...
8:19 Part 3: Timeline predictions
8:28 Geoffrey Hinton: godfather of AI (under 20 years)
9:03 Ray Kurzweil: futurist, studies advancement of technology (2029)
9:33 David Shapiro: YouTuber and researcher (2024)
10:12 Sam Altman: CEO of OpenAI (under 10 years)
10:53 Shane Legg: DeepMind founder (2025/2028)
11:23 Dario Amodei: CEO of Anthropic (2025-2026)
11:46 Dr Alan D. Thompson: countdown to AGI (2024-2025 maybe 2026)
12:44 Measuring stepping stones to AGI
13:15 Dr Waku prediction!
14:05 Conclusion
14:38 Outro

Shane Legg, the visionary founder of Deepmind has just dropped a bombshell: he envisions DeepMind achieving Artificial General Intelligence, or AGI, by the year 2028. This announcement comes as a seismic shift in the AI landscape, setting the stage for a future where machines possess human-level cognitive abilities. The implications are nothing short of revolutionary, promising to reshape industries, economies, and the very fabric of our existence!
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
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TIMESTAMPS:
00:00 AGI By 2028 confirmed
01:10 Deepmind is working towards AGI
05:04 How AGI will be created
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#deepmind #ai #agi