🔥Free Basics of Finance Course with completion certificate: https://www.simplilearn.com/basics-finance-foundation-course-skillup?utm_campaign=FREECourseOnBasicsOfFinanceWithCertificate&utm_medium=Description&utm_source=youtube

This video will give you an idea of our Simplilearn skillup course on Basics of Finance. It will give you an overview of the perks of its well crafted lessons and will also provide you with certificate after the completion of this course. This video will help you explore the agenda of this course on the Basics of Finance with proper explanations. In this course, you will be provided with free access to the course for 90 days. So don't miss out on this opportunity and enroll now!

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⏩ Check out the Python tutorial videos: https://www.youtube.com/watch?v=Tm5u97I7OrM&list=PLEiEAq2VkUUKoW1o-A-VEmkoGKSC26i_I

#CourseOnBasicsOfFinanceWithCertificate #BasicsOfFinance #Finance #SkillUp #2022 #Simplilearn


About Basics Of Finance Certification Course:
This Basics of Finance for beginners course teaches small business holders, new financial enthusiasts, and any layman, about the basic financial concepts used in their financial reports, and stocks pages. This Basics of Finance course is designed in a way to will help beginners understand all the terms related to accounting and theories to analyze and solve financial complications on their own.

Skills You Learn:
✅ Decision Making
✅ Financial Math
✅ Foundational Investment
✅ Solution Skills
✅ Management Skills

Who should learn Finance?
1. Entrepreneurs
2. Employees
3. Finance Enthusiasts

Why should you learn Basics of Finance?
1. Trusted by Tech Giants - Morgan Stanley, Wells Fargo, Bank of Canada, and a lot more
2. Average salary for a CFA Analyst - $190,460


Learn more at: https://www.simplilearn.com/basics-finance-foundation-course-skillup?utm_campaign=FREECourseOnBasicsOfFinanceWithCertificate&utm_medium=Description&utm_source=youtube

🔥Free Basics Of Finance Course with completion certificate: https://www.simplilearn.com/basics-finance-foundation-course-skillup?utm_campaign=FREECourseOnBasicsOfFinanceWithCertificate&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

AI robots, with Elon Musk, Boston Dynamics. To learn AI, visit: https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Sources:

Future of Life Institute AI discussion with Elon Musk:
https://www.youtube.com/watch?v=h0962biiZa4&t=1452s

AI Alignment study, OpenAI, Oxford and UC Berkeley:
https://twitter.com/RichardMCN....go/status/1603862969

Atlas gets a grip - Boston Dynamics:
https://youtu.be/-e1_QhJ1EhQ

OpenAI's ChatGPT:
https://openai.com/blog/chatgpt/

David Chalmers on Machine Learning Street Talk (great channel):
https://www.youtube.com/watch?v=T7aIxncLuWk

Volcanic lightning is making the world safer:
https://www.youtube.com/watch?v=Yc-2lfNNmWk

Ball lightning:
https://www.youtube.com/watch?v=_gOlQCI9Tgg

A message to artists about AI art, ChrissaBug:
https://www.youtube.com/watch?v=zx3ROK9nOYE

Study on the health cost of sitting down too much:
https://www.acpjournals.org/doi/10.7326/M17-0212

AI improves stroke recovery:
https://www.euronews.com/next/....2022/12/27/ai-techno

AI encodes clinical knowledge:
https://arxiv.org/abs/2212.13138?utm_source=substack&utm_medium=email

Elon Musks tweet on ChatGPT, with Altman’s response.
https://twitter.com/elonmusk/s....tatus/15991285770686

This is the biggest, brightest, hottest video there is about the science of fireworks. This video is brought to you by Kiwico – go to https://kiwico.com/veritasium for your first month free!

If you're looking for a molecular modeling kit, try Snatoms - a kit I invented where the atoms snap together magnetically: https://snatoms.com

Check out Gene’s channel here -- @PotatoJet

Massive thanks to Mike Tockstein from Pyrotechnic Innovations @PyroInnovations
and Will Scott from Las Vegas Display Fireworks Inc, for all your pyro knowledge and keeping us safe.

▀▀▀
Massive thanks to Gene Nagata from PotatoJet for filming this episode – check out his wonderful channel for more videos about cameras and FPV drones.

Thanks to Brandon Williams for helping with the chemistry and sourcing of materials.

Thanks to Matthew Tosh for the help with the chemistry conversation about fireworks.

Thanks to Simon Werrett for the help with the history of fireworks.

▀▀▀
Werrett, S. (2010). Fireworks: pyrotechnic arts and sciences in European history. University of Chicago Press

▀▀▀
Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

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Written by Derek Muller
Edited by Trenton Oliver
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Filmed by Derek Muller, Hunter Peterson, Gene Nagata, Raquel Nuno
Production by Hunter Peterson and Stephanie Castillo
Additional video/photos supplied by Mike Tockstein/Pyrotechnic Innovations
Music from Epidemic Sound & Jonny Hyman
Produced by Derek Muller, Petr Lebedev, Emily Zhang, & Casper Mebius

If you want to master AI agents in 2026 and actually build systems that can reason, plan, and take action on their own- this video is your complete roadmap.

I walk you through exactly what you need to learn, in what order, and which free resources will actually get you there- without wasting months chasing hype.

The space feels overwhelming right now. Everyone's throwing around words like agents, autonomy, multi-agent systems, tool use, planning, memory- and it all sounds exciting, but also kind of chaotic.
You're not too late. But you do need a plan. That's exactly what this video gives you.

Chapters:
00:00 – Why You Need a Roadmap for AI Agents
01:08 – Prerequisites: Python, APIs, ML Fundamentals
03:25 – Month 1: Foundations & Architecture
05:17 – Month 2: Agent Frameworks & Memory
06:55 – Month 3: Tools, APIs & Multi-Agent Systems
08:06 – Month 4: Evaluation, Safety & Deployment
08:55 – Month 5-6: Specialization, Advanced Topics & Capstone
10:12 – Final Advice & Resources

Free Resources Mentioned:

Prerequisites-
Google's Python Class: https://developers.google.com/edu/python
Python for Everybody (Charles Severance): https://www.py4e.com/

Month 1: Foundations

Hugging Face Agents Course: https://huggingface.co/learn/agents-course

Month 2: Frameworks & Memory

LangGraph Documentation: https://www.langchain.com/langgraph
CrewAI Documentation: https://docs.crewai.com/

Month 3-4: Tools, Multi-Agent & Production

OpenAI Function Calling Guide: https://platform.openai.com/do....cs/guides/function-c
LangSmith (Evaluation): https://www.langchain.com/langsmith

Month 5-6: Advanced & Capstone

Berkeley LLM Agents Course: https://llmagents-learning.org/f24

Drop a comment: Where are you in your AI agents journey? Just starting, already building, or stuck somewhere in the middle?

https://www.hostinger.com/makefirstmillion10
Coupon Code: MAKEFIRSTMILLION


🔗 Enroll in the AI Institute (Aaghaz):
🌐 https://www.aaghaz.ai

Timestamps:

00:00 Intro
00:03:21 Basics of AI Agents & Automations
00:08:24 Auto Email Reply System
00:40:32 Inventory Management System
01:25:20 Jarvis System-Voice Command
02:25:54 Website Downgrade or Upgrade Management
02:33:36 AI Voice Calling Agent
03:56:39 Selling Psychology
04:23:32 Outro


In this video, Badar Munir founder of Make First Million and creator of Aaghaz – Asia’s First AI Startup & AI Master Institute, shares how smart people are preparing for the AI era — and why mastering AI Agent is becoming essential for every professional.

This is not theory — you will learn the real AI-first mindset, how to create custom GPT assistants, and how students, freelancers, founders, and professionals are using AI as a growth weapon, not just a tool.

AI Full Crash Course for Beginners (Urdu-Hindi) | Learn AI & ML

📲 Follow on Instagram:
👉 Make First Million
https://www.instagram.com/make.first.million/
👉 Aaghaz AI
https://www.instagram.com/aaghaz_ai/

Music used in this video:

Track: Awaken
Artist: Alex-Productions (Aylex)
Music provided by: https://onsound.eu/
Watch: https://youtu.be/aqLUvpAdLNQ
License: Creative Commons Attribution 3.0 (CC BY 3.0)

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Music: Awaken by Alex-Productions / alexproductionsmusic
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Track: Odyssey
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License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Install Buzz: https://www.hostg.xyz/SHJtb
All systems: https://www.skool.com/claude
Free Community: https://www.skool.com/aianswers
Clickup: https://clickup.com/?utm_source=Samin
-----------------------------
✉️ For Business Inquiries: [email protected]

Hi 👋 I'm Samin. This channel is for you if you’re a business owner who wants to:
→ Build a complete client acquisition system
→ Scale your revenue while working less

You may be feeling stuck, trying to figure out how to attract consistent leads, increase your sales, and grow your business without burning out.

If that sounds like you I can help.

But why even listen to me?
I’ve have helped 200+ business use AI Automations generating and saving them millions (look at my case studies)
My company was featured in Bloomberg business week for innovative use of AI Agents.
I’m an Ex-Amazon software engineer with over 6 years of experience
I have a computer science degree from NYU

00:00 Meet My AI Team
00:27 The Big Setup Questions
01:10 Why Build an AI Team?
01:43 The Business Bottleneck
02:28 Small Team, Bigger Output
03:08 Match the Model to the Job
03:44 From Separate Bots to a Team
04:29 How Buzz Brings It Together
5:09 Full tour of Buzz
9:36 Models, harnesses & agents
12:39 Subscriptions vs pay-per-token
16:39 Mac mini vs VPS
21:27 Setting up Buzz from scratch
27:58 Building an AI project manager
31:45 Making your agents debate

OpenAI has finally released the most anticipated ChatGPT model today, called "gpt-3.5-turbo". Unlike the GPT 3.0 models that work like a search engine, ChatGPT model tracks the conversation to create more useful outputs. In this tutorial, I will go through every single detail on how to get started with the newest OpenAI ChatGPT API in Python.

📑 Python Script Used In The Video: https://wp.me/payCAw-1lw

💻 Build Your Own ChatGPT Desktop App: https://youtu.be/snkys9zXyD0

✉ Signup for an OpenAI account: https://openai.com/

📑 OpenAI GPT Model Pricing: https://openai.com/pricing

📑 openai.ChatCompletion reference: https://platform.openai.com/docs/guides/chat

📑 OpenAI ChatGPT Model (gpt3.5 turbo) Info : https://platform.openai.com/docs/models/gpt-3-5

► Buy Me a Coffee? Your support is much appreciated!
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✉️ Business Inquiring: [email protected]

00:00 - Intro to OpenAI gpt 3.5 turbo model
00:34 - OpenAI GPT-3.5 Pricing difference vs GPT-3.0
01:51 - OpenAI GPT 3.5 models summary
03:03 - Sign up for an OpenAI account
03:29 - Create an OpenAI API Key
03:47 - Create Python script
04:15 - Install OpenAI Python package
04:27 - open.ChatCompletion library usage
11:00 - Track ChatGPT conversation
15:03 - Make the Python script runs like ChatGPT

#chatgpt #chatgptapi #openai #ai #python #gpt

🧠 Dive into the world of Agentic AI, where AI systems act autonomously to achieve goals without human guidance. From personal assistants to autonomous vehicles, agentic AI is redefining sectors with its ability to learn, adapt, and operate independently. However, this new frontier raises ethical questions about accountability and transparency. Learn more about its growing impact!

#AgenticAI #AutonomousAI #AIInnovation #TechEthics #FutureOfAI

Xiaoqing Ge, Senior Innovation Engineer at Baker Hughes, discusses the following:
• Overview of computer vision
• How deep learning works in computer vision?
• Traditional methods vs deep learning
• Survey of Baker Hughes applications
• Looking ahead

#sponsored Get your 30-day free trial here! https://gohighlevel.com/aimaster

🧠 Get the full agent-building playbook on AI Master → https://aimaster.me/yt/agent_claude

Most people use Claude wrong — they paste a task into chat and call it an agent. A real agent has a process, knows when it's uncertain, and asks before it acts. In this tutorial I show you how to build one with no code, no APIs, no developer setup — just Claude Desktop and a folder on your computer.

We cover the 3 levels of working with Claude, how to set up your Claude Code workspace, why the CLAUDE.md file is the most important piece of the whole system, and how planning mode stops Claude from guessing. Then we build two real agents live. Plus the 5 mistakes that kill most agent builds.

Chapters:
00:20 What an AI Agent Actually Is
03:05 The Three Things That Make an Agent Real
04:32 Setting Up Your Workspace
05:38 CLAUDE.md — The File That Changes Everything
08:11 The Habit That Makes or Breaks Results
10:13 How Agent Systems Are Actually Structured
12:04 Building Your First Real Workflow
13:51 Running the Agent on a Live Task
15:22 Iterating on the Output
16:26 Building a Second Workflow
17:53 The Five Mistakes That Kill Agent Workflows
20:12 Expanding Your Agent Stack Over Tim

#claude #aiagents #claudetutorial #aiautomation #aimaster

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=XuW7WBjgNfc&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=XuW7WBjgNfc&utm_medium=DescriptionFirstFold&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

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#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

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=XuW7WBjgNfc&utm_medium=Description&utm_source=Youtube

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

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

Not only have I built hundreds of AI agents myself, I've seen other people build thousands of AI agents for every use case under the sun. The people who are the most successful are the ones who don't overcomplicate it - and I want that to be you too.

It's easy to think building AI agents is super complicated, but honestly you can learn 90% of what you need to know (and what to focus on) from this video. No matter how you're building your agents, I'll show you here what you need to think about, and more importantly what you shouldn't worry about when you're first creating your agent.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Platforms mentioned in this video (most are open source!):

- Synk for automated AI-native app security:
https://snyk.plug.dev/xgmYQhO
- Guardrails AI for agent guardrails:
https://github.com/guardrails-ai/guardrails
- Pydantic AI for the AI Agent framework:
https://ai.pydantic.dev/
- Mem0 for long term memory:
https://mem0.ai
- Langfuse for agent observability:
https://langfuse.com/
- Docker for deployment:
https://www.docker.com/

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous:
https://dynamous.ai/agentic-coding-course

- Here is the repo for the super simple AI Agent we built in this video:
https://github.com/coleam00/ot....tomator-agents/tree/

- Here is the system prompt template I covered:
https://docs.google.com/docume....nt/d/1-OB4ZMg20pIRVm

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Thanks to Snyk for working with me on the security portion of this video! It's been a pleasure and I really do believe Snyk is on the forefront of software/agent/AI coding security especially with their new MCP server:
https://docs.snyk.io/integrati....ons/snyk-studio-agen

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

00:00 - Master the First 90% of Building AI Agents
01:38 - The 4 Core Components of AI Agents
03:06 - The First 3 Steps of Building an Agent
04:09 - Building a Basic AI Agent Together Live
09:17 - Choosing Your LLM
10:34 - Crafting Your System Prompt
12:20 - Creating Your Tools (Agent Capabilities)
14:26 - AI Agent Security
15:32 - Guardrails AI
16:45 - Snyk MCP Server
19:45 - Managing Agent Context (Memory)
22:05 - Mem0 for Long Term Agent Memory
23:53 - Agent Observability (with Langfuse)
26:28 - Agent Deployment (with Docker)
28:41 - Final Thoughts

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!

Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart of RLHF lies a very powerful reinforcement learning method called Proximal Policy Optimization. Learn about it in this simple video!

This is the first one in a series of 3 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 (This one): Reinforcement Learning with Human Feedback
Video 3 (Coming soon!): Deterministic Policy Optimization

00:00 Introduction
00:48 Intro to Reinforcement Learning (RL)
02:47 Intro to Proximal Policy Optimization (PPO)
4:17 Intro to Large Language Models (LLMs)
6:50 Reinforcement Learning with Human Feedback (RLHF)
13:08 Interpretation of the Neural Networks
14:36 Conclusion

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

Adobe has released a new Photoshop beta version that introduces game-changing AI features, changing the way you edit images and photos, particularly beneficial for photographers, graphic designers, and creators.

The first AI feature, "Generate Objects", lets users select a certain area of an image and then input text specifying a desired change. The tool uses AI to make this change, for example, changing hair color.

The second feature, "Generate Backgrounds", allows users to select the subject of a photo and then specify a new background, with AI then generating various samples.

The third AI feature, "Extend Image", helps in expanding the image boundaries by adding extra elements such as extending a sky or a sandy beach, based on a user's text prompt.

The fourth feature, "Remove Objects", helps in removing selected elements from a picture by selecting the area and leaving the text prompt empty, allowing AI to remove all elements within the frame.

Timecodes:

0:00 Intro
0:31 The new AI imaging revolutions
1:40 The FOUR new Photoshop AI features
1:54 First feature: Generate Objects
3:47 Second feature: Generate Backgrounds
5:02 Third feature: Extend Images
7:07 Fourth feature: Remove Objects
8:08 Outro

#photoshop #sony

This video is your gateway to understanding Generative AI. We’ll explain what Generative AI is, how it works, and its advantages, along with ethical considerations. Discover Large Language Models like GPT and get hands-on with prompting techniques to create your own LLM app for Android. Explore top AI tools like ChatGPT and GitHub Copilot. Learn advanced concepts like Langchain and RAG. With demos and case studies, this video equips you with the skills to build advanced AI applications. Watch now and enhance your AI journey!

Learn the basics, advanced strategies, and practical applications to shape the future of AI-driven communication. Enroll for free and get a certificate of completion. Click on the link below https://www.mygreatlearning.com/academy/learn-for-free/courses/prompt-engineering-for-chatgpt?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=GenAIFllcrsGenAITut_2024

Learn AI & ML from the University of Texas, Austin. To build a successful career enroll now! https://www.mygreatlearning.com/pg-program-artificial-intelligence-course?utm_source=CPV_YT&utm_medium=PPDesc1&utm_campaign=GenAIFllcrsGenAITut_2024

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🏁 Topics Covered:
00:00:00 Introduction
00:01:39 Introduction to Generative AI
00:10:51 Advantages of Generative AI
00:12:12 The Future of Generative AI
00:13:22 Ethical Considerations in Generative AI
00:15:09 Introduction and Phases to LLMs
00:27:57 Introduction to OpenAPI GPT API
00:36:22 Claude 3.5 Sonnet
00:52:58 Claude Artifacts
00:53:52 Demo on Claude Artifacts
01:00:12 Use cases of Claude
01:02:25 Demo on Claude Sonnet
01:18:18 GPT 4o Mini and uses
01:20:26 Why GPT 4o Mini
01:21:39 Features of GPT 4o Mini
01:22:45 Difference between GPT 4o and GPT 4o Mini
01:24:26 Demo on Playground tab, Dashboard tab, Docs tab and API References tab
01:29:06 Prompting on Playground and Billing Settings
01:31:22 Version of Google Gemini
01:38:10 General Prompt Demo Google AI Studio
01:40:33 Structured Prompt in Google AI Studio
01:46:01 Model Tuning in Google AI Studio using System Sample
01:48:28 Other data import options in Google AI Studio using System Sample
01:51:30 Abstract of the Email Generator App
01:51:55 Software Requirements for App
01:54:15 Implementation of the App
02:03:43 Executing the App
02:06:28 Generative AI Popular Tools
02:06:57 ChatGPT
02:07:13 Github Copilot
02:07:26 Claude
02:07:41 Gemini
02:08:27 Basics of Prompt Engineering
02:30:02 Basics of ChatGPT
02:31:06 Demonstration of Prompt on ChatGPT
02:34:37 Python App using ChatGPT 4o
02:41:59 Using ChatGPT 4o for Statistical Analysis
02:49:08 Demonstration of Prompt using ChatGPT 4-o
02:51:12 Portfolio website code execution
02:25:27 Introduction to Github and Github Copilot
03:08:47 Hands-on session on Github Copilot
03:41:34 Introduction of Claude
03:53:24 Prompt Engineering and Install Claude
04:05:03 Hands-on Claude
04:19:13 Program for tic-toe game using Claude
04:21:10 Claude 2 API
04:28:37 Integration of Python and Gemini 1.5 pro
04:35:20 Chatbot using Gemini 1.5 pro
04:53:12 Generative AI Applications
05:06:33 Flask ChatGPT App
05:25:30 Flask Text-to-Image App
05:27:36 Demo - Flask Text-to-Image App
05:36:24 Introduction to Langchain
05:40:18 Why LangChain?
05:45:30 Development Environment Setup of LangChain
05:47:04 Demo on Library Installation
05:49:29 LangChain Core Concepts
05:54:22 LangChain Components
06:00:23 LangChain Case Study
06:09:12 Limitations of LLMs
06:11:04 Introduction to RAG
06:18:08 RAG Basics Concepts and Terminology
06:29:41 Key Components of RAG - Retrieval and Generation
06:38:11 Workflow and Applications of RAG
07:04:17 Hallucinations in RAG
07:12:25 Steps to implement RAG with LangChain
07:25:40 Hands-on RAG in detail

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Build your first AI agent without coding, check out Lindy: https://go.lindy.ai/ishan

In the past few months, the internet has been flooded with articles and videos about AI agents, highlighting how they simplify people's lives, maximize productivity, and even generate income.

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It has lots of ready-to-use templates that you can try out and start building for free

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Watch the video till the end to learn about it in detail, and let me know in the comments what you are going to build with Lindy

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Join MarkitUpX Discord Server: https://discord.gg/fwSpTje4rh

CHAPTERS:-
00:00 - Introduction
01:34 - Lindy interface
02:06 - Flow editor
09:51 - AI agent
11:38 - Examples of AI agents
15:49 - Conclusion

😁 About Me: https://bit.ly/aboutishansharma
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MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2025 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

For all lectures, slides, and lab materials: http://introtodeeplearning.com/

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