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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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

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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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MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2025 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

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In this interactive session on "Top Networking Commands," we will look at some of the preferred commands applied in the window's command prompt application to access information and configure network settings for our respective devices. In this demo session, you will understand the execution and the functioning of multiple network commands for better handling of our systems.

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05:26 taskkill
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06:01 wmic

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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!

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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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Claude Code tutorial and guide (beginner, intermediate, advanced).

Want to go even deeper on Claude Code with hands-on help? Join my 8 day AI Coding Accelerator: https://maven.com/alpha-clarit....y/ship-with-claude-c (use code YOUTUBE for $300 off)

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Claude Code 201: Skills, Plugins, MCP: https://maven.com/p/2ab172/cla....ude-code-201-skills-
——

Six months ago, I was using Claude Code all wrong. Today, I'm a Claude Code power user: I can run multiple Claude Code instances simultaneously and build a week's worth of features in just hours.

In this comprehensive guide, I share 36 specific lessons that transformed me from a Claude Code beginner to pro. These are battle-tested techniques I use daily to ship real projects faster than ever before.

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Learn how to build apps with AI coding tools, even if you're new to coding. Subscribe to learn about the best AI coding tools and how to get the most out of them. I'm Avthar Sewrathan, and I'm obsessed with AI coding tools. With a decade of tech experience and background as a startup founder and AI Product Manager, I bring you practical insights on tools like ChatGPT, Claude Code, Cursor, Replit, v0, and more.

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TIMESTAMPS
00:00 Claude Code: The New King of AI Coding?
02:14 Level 1: Beginner
02:29 Installation
03:37 Todo lists
04:16 Essential Commands
06:35 Debugging with Claude Code
07:57 Claude.md file
09:33 Message Queue
09:57 Markdown file prompts
10:33 Level 2: Intermediate
10:51 Planning Modes
12:10 Thinking Modes
12:58 More than Code: Research, Documents, Changelogs
15:16 Github Actions Integration
15:59 Mindset for Success with Claude Code
17:23 Level 3: Master
17:48 Parallel Subagents
18:16 Multiple Claudes (aka multi-clauding) with Git worktrees
19:30 Custom Slash Commands
20:50 Custom Subagents
22:50 MCP Server Usage
24:05 Cost and Value for Money
25:56 Conclusion: What's next?

In this video we will discuss about the differences between generative ai vs agentic ai vs AI agents.
Agentic AI is an AI system that acts autonomously, adapts in real time, and solves multi-step problems based on context and objectives.
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This "Data engineer roadmap" Video By Simplilearn is a guide that outlines the essential skills and knowledge needed to become a successful data engineer. This tutorial covers a range of topics, starting with core concepts such as databases, SQL, and data modeling. From there, it progresses to data integration and ETL processes, including batch processing and real-time data pipelines. The roadmap also includes learning about distributed systems and technologies like Apache Hadoop and Apache Spark, as well as cloud platforms like AWS, Azure, and GCP. Overall, the data engineer roadmap provides a comprehensive path for acquiring the necessary expertise in data engineering. By following this roadmap, aspiring or experienced data engineers can develop the skills needed to design, construct, and maintain data infrastructure and systems, and contribute to building robust and scalable data solutions.

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02:15 What is Data Engineering?
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In this live session on Robot Framework Tutorial For Beginners, firstly we will learn automation
,Automation approaches
Basics of python
python unit testing
selenium WebDriver
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02:30 - Course content
06:07- Benefits of Automation Testing
14:03- Why Automation
22:49- Automation Testing Process
31:04- Test Tool Selection
34:20- Framework For Automation
37: 32- Difference Between Manual and Automation Testing
41:49- Python Introduction
50:00- How To Install Python on Windows
56:25- Data Types and Variables
1:31:18- Looping Concepts
3:08:45- Polymorphism
3:31:48-Multiple Inheritance
3:34:36- Collection

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Learn how to design with Claude Code from Anthropic in real product workflows with Figma MCP.

I cover what Claude Code is, how designers can use it, and how to turn it into a serious productivity multiplier for UX exploration, documentation, prototyping, and shipping faster.

If you’re a UI, UX, or Product Designer looking to build better products, work smarter with AI, and stay competitive in a rapidly changing industry, this guide is for you.

🔗 KEY LINKS
📣 JOIN THE COMMUNITY: https://uicollective.co/
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Why Join UI Collective Academy? Get access to premium courses, premium downloads, and so much more on the way (I am largely building this solo...trying to make design education available for all, support goes a long way!)

↪️ Need a design system? (also included in the academy): https://collectivekit.co/

🔗 VIDEOS TO WATCH
Build a Design System: https://youtu.be/opTANvl9G1g
Complex Design System Setup: https://youtu.be/L-tpK7Eeuow
AI & Design Systems: https://youtu.be/XfezMs8B-O8

🔗 MORE LINKS
Let us build or fix your design system: https://designsystemlabs.co/
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[email protected]

VIDEO LINKS & MORE:
Installation: https://code.claude.com/docs/en/overview#terminal
For installation: /plugin install figma@claude-plugins-official
MCP documentation: https://code.claude.com/docs/en/mcp
https://www.pencil.dev/

0:00 An Introduction
0:53 Introduction to Claude Code
3:23 Claude Code & Opus 4.6
4:26 Setting Up Claude Code
6:07 Connecting Figma MCP
7:35 Building a Figma Design with Claude Code
11:59 Claude Code Desktop App
13:32 Pencil App Demo
14:31 Building a Design with Claude Code & Pencil

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🔥Virginia Tech Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/vt-applied-agentic-ai-course?utm_campaign=l_Zg237msTg&utm_medium=DescriptionFF&utm_source=Youtube
🔥Michigan Engineering Generative AI Applications for Leaders - https://www.simplilearn.com/generative-ai-for-business-transformation?utm_campaign=l_Zg237msTg&utm_medium=DescriptionFF&utm_source=Youtube"

In this video on "What is Agentic AI", we explain the meaning of Agentic AI through the simple story of Emma, a small online business owner. You will see how traditional AI can provide useful ideas and answers, while Agentic AI can understand a goal, create a plan, use tools, take actions, and improve results step by step.

Emma initially uses a normal AI chatbot to get ideas for increasing her weekend sales. Although the AI suggests discounts, social media promotions, and email campaigns, Emma still has to complete every task herself. With Agentic AI, the experience changes. The AI reviews sales information, studies customer queries, identifies popular products, creates campaign plans, writes email drafts, prepares social media captions, recommends posting times, and tracks campaign performance. Simplilearn’s AI certification programs can help learners understand modern AI tools, prompt engineering, AI automation, and the safe use of AI systems in real-world situations.

Watch the complete video to understand how Agentic AI helps people move from ideas to action.

Topics covered:
1. What is Agentic AI?
2. What are AI agents
3. Traditional AI vs Agentic AI
6. AI guardrails
7. Business automation
8. Generative AI and the future of work.

Related Videos:
✅ 1. https://youtu.be/2MHjpOHQNNQ?si=a8lofxiO2g8ONByK
✅ 2. https://youtu.be/DfFoMhfYNLI?si=gxT5Dy5rUZ7OXh1l
✅ 3. https://youtu.be/ia7M-lJiTMY?si=fu8XSxaAjcLIgIaH
✅ 4. https://youtu.be/phkxmDo0TlQ?si=z900jRlscbwFu6iA
✅ 5. https://youtu.be/2R-niMsB0QY?si=UaM46S85L7vVmVoU

✅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_

🔥Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube

➡️ About Applied Generative AI Specialization

The Applied Gen AI Course equips learners with the skills to build AI-driven solutions. Learn to design, train, and deploy models while addressing ethics, bias, and compliance. Gain industry-relevant experience through hands-on projects to drive innovation and stay competitive in an AI-powered world.

Key Features

✅ Get a program completion certificate from Michigan Engineering Professional Education
✅ Engage in 70+ hours of live online sessions led by industry experts
✅ Access a comprehensive curriculum covering Python, AI literacy, and GenAI principles (VAEs, GANs, and LLMs)
✅ Explore agentic frameworks and create adaptive AI agents using LangChain
✅ Implement advanced prompt engineering, RAG, and fine-tune models for domain-specific AI solutions
✅ Apply best practices for AI transparency, fairness, security, and regulatory compliance
✅ Work with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, and Streamlit
✅ Earn a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
✅ Experience flexible learning with session recordings
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Gain 24/7 access to Simplilearn’s Learning Management System (LMS)

Skills Covered
✅ Prompt Engineering
✅ Agentic Frameworks
✅ AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning
✅ Stable Diffusion
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Attention Mechanisms
✅ Transformers
✅ GenAI Application Development
✅ LLM Benchmarking
✅ GenAI Governance
✅ AI Image Generation

👉 Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube

Go from zero to a machine learning engineer in 12 months. This step-by-step roadmap covers the essential skills you must learn to become a machine learning engineer in 2024.

Download the FREE roadmap PDF here: https://mosh.link/machine-learning-roadmap

✋ Stay connected

- Complete courses: https://codewithmosh.com
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/

🔗 Other roadmaps

https://youtu.be/Tef1e9FiSR0?si=QpVnZ_o9-DAXzT71
https://youtu.be/OeEHJgzqS1k?si=qd0ZIqAzUpZQn6BX

📚 Tutorials

https://youtu.be/_uQrJ0TkZlc?si=ZhlCrQs1SkaPNVa8
https://youtu.be/8JJ101D3knE?si=OGTuS35LQqSunuhh
https://youtu.be/BBpAmxU_NQo?si=dm-ZCPxVBYWS1Qhn
https://youtu.be/7S_tz1z_5bA?si=QL7s_M2Ao90RDwG8

📖 Chapters

00:00 - Introduction
00:20 - Programming Languages
00:42 - Version Control
01:03 - Data Structures & Algorithms
01:35 - SQL
01:55 - The Complete Roadmap PDF
02:19 - Mathematics & Statistics
02:40 - Data Handling
03:15 - Machine Learning Fundamentals
03:57 - Advanced Topics
04:28 - Model Deployment

#machinelearning #ai #datascience #coding #programming

✅ Best AI App builder is Base44 https://base44.pxf.io/c/6440076/2049275/25619?trafcat=base&sharedid=video68

✅ Submit your Claude Code app to the App Store: https://mikeyno-code.com/Skool-claude

✅ All used prompts + the FULL AI App Building Course are available in the Skool community

In this video, I break down the exact Claude Code tutorial process I use to help beginners build apps with AI in 2026 using my step-by-step method. You'll learn how to use Claude Code effectively, set up Claude Code in VSCode, and understand the key differences between Claude Code vs Cursor so you can choose the right AI coding assistant. I'll also cover Claude Code MCP integration and show you the complete Claude Code setup process, making this the perfect Claude Code for beginners guide that gives you everything you need to start building AI-powered applications from scratch.

00:00 - Intro: Building a Math Helper App
01:58 - Step 1: Installing Claude Code in VS Code
03:43 - Step 2: Testing with a Basic Web App
08:35 - Step 3: Generating the React Native Front End
09:57 - Step 4: Building the Camera & Upload Widget
13:00 - Step 5: Integrating OpenAI for Math Logic
15:48 - Step 6: Creating the "Saved Questions" Section
17:13 - Step 7: Adding the Learn & Quiz Sections
19:50 - Full App Walkthrough

Join my exclusive newsletter: https://mikeyno-code.com/newsletter

📩 For inquiries: Mikey (at) ytmedia.group

Whatever your current skill level, this course will help you become an AI power user.

Learn to:

Find information: Get accurate, well-sourced answers using AI web search and deep research modes.

Brainstorm & Write: Use AI as a thought partner to get honest feedback and write natural-sounding text.

Create & Build: Generate images and build simple websites and apps with no coding required.

Taught by AI pioneer Andrew Ng, you’ll learn how to effectively use modern AI for the main things people use it for: finding information, brainstorming and writing, and working with multimedia and code.

If you want to get certified and access to course labs and quizzes, enroll here: https://bit.ly/4wFmOZl