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)

Never get stuck without AI again. Run three Small Language Models (SLMs)—also called Local LLMs—TinyLlama, Gemma-3 and Phi-4-mini—completely offline; all fit in 4 GB or less and work on any laptop and older hardware.

────────────────────
🔧 Hardware & Software used
• Laptop Ryzen 5 4500U, 8GB RAM, Ollama (no GPU needed!)
• Phone iPhone 13 Pro with Mobile PocketPal AI (local GGUF)

────────────────────
🔗 Model resources
• ChatGPT global outage (news)
https://timesofindia.indiatime....s.com/etimes/trendin
• Phi-4-mini reasoning paper
https://www.microsoft.com/en-u....s/research/wp-conten
• TinyLlama 1.1 https://huggingface.co/TinyLlama/TinyLlama_v1.1
└ GGUF Q4_0 637 MB https://huggingface.co/TheBlok....e/TinyLlama-1.1B-Cha
• Gemma-3 https://huggingface.co/blog/gemma3
└ GGUF Q4_K_M 0.8 GB https://huggingface.co/Maziyar....Panahi/gemma-3-1b-it
• Phi-4-mini https://huggingface.co/microso....ft/Phi-4-mini-reason
└ GGUF Q4_K_M 2.5 GB https://huggingface.co/lmstudi....o-community/Phi-4-mi

────────────────────
🎬 More on local AI
• End of VRAM? https://youtu.be/M9ZphDPRP_w
• Is local AI image generation dying? https://youtu.be/ad7jBaNgIW8

🛠 Support the channel
Patreon https://www.patreon.com/NextTechAndAi

────────────────────
▼ Comment Poll
What would YOU use offline AI for?

#SmallLanguageModels #LocalLLM #OfflineLLM #LocalAI

In this video we have downloaded images online and store them in a folder together with a csv file and we want to load them efficiently with a custom Dataset in Pytorch.

Small Example of Dataset used in video:
https://www.kaggle.com/dataset..../c75fbba288ac0418f77

Dataset (All images but not with csv file so you have to create it youself):
https://www.kaggle.com/c/dogs-vs-cats/data

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

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This video on Software Testing for beginners is designed, developed, and curated in collaboration with real-time industry experts. The course comprises fundamentals of software testing and also covers critical tools like selenium, JMeter, and Jenkins for helping learners to have a familiar understanding of the top devops tools in the current IT industry. This Software testing tutorial covers the basics of software testing and the automation tools used for software testing. We'll look at the test-driven development approaches with JUnit5, and understand the behavior-driven development approach with Cucumber.

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#softwareTesting #Selenium #Jenkins #JMeter #2022 #SoftwareTestingTutorialForBeginners #SoftwareTestingTutorial #WhatIsSoftwareTesting #SoftwareTestingAutomationTutorial #DevOps #DevOpsTutorial #Simplilearn

Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on, and interactive approach. The Devops training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skill set to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit to the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers

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Welcome to our exhilarating Advanced Python Course For 2023 With Python Projects – a transformative journey into the depths of Python programming! In this power-packed series, we'll equip you with the tools and knowledge to take your Python skills from competent to extraordinary. Whether you're an aspiring developer or a seasoned coder, this course is designed to elevate your coding prowess and explore Python's most advanced concepts. Get ready to unravel the magic of object-oriented programming (OOP), conquer Python's powerful libraries, and dive into the world of functional programming. We'll navigate through classes, objects, inheritance, iterators, and generators, unlocking Python's true potential. From mastering file handling and exception handling to embracing automation through lambda functions, we've got you covered! Plus, we'll introduce you to the top Python libraries of 2023 and delve into the might of NumPy and Pandas for data science.

Here in this Advanced Python Course For 2023 With Python Projects video, we start with:

00:00:00 Introduction to Python

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✅ About AI & Machine Learning Bootcamp (US Only)

This AI and Machine Learning Bootcamp in collaboration with Caltech, will help you advance your career as an AI and ML specialist. The AI and ML Bootcamp includes live classes delivered by industry experts, hands-on labs, Industry-relevant projects, and masterclasses by Caltech professors.

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

✅ Tools Covered
- Python
- Tensorflow
- Keras
- MatPlotlib
- NLKT
- Scikit Learn
- Django
- Flask
- Open CV

👉Enroll Now: https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=26July2023AdvancedPythonCourseFor2023WithPythonProjects&utm_medium=Description&utm_source=youtube
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This course will teach you to build real-world apps with React Router 6. Click here to get to the interactive version 👉 https://scrimba.com/links/react-router-6-course

Throughout the course, you’ll be building an app called “VanLife” – an Airbnb-style web app dedicated to renting out travel vans for your next big road trip!

As you build “VanLife”, you will learn all the important parts of React Router, such as layout and index routes, nested routes, filtering results with search parameters, protecting routes for authenticated users, and more. You will also learn about the new Remix-inspired data router APIs, including Loaders and Actions.

This course was created by Bob Ziroll, Scrimba’s Head of Education.
🔗 Bob on Twitter here: https://twitter.com/bobziroll
🔗 Scrimba on YouTube: https://www.youtube.com/c/Scrimba

⭐️ Get the code ⭐️
🔗 Scrimba course: https://scrimba.com/links/react-router-6-course
🔗 GitHub repo: https://scrimba.com/links/reac....t-router-course-gith

💫 Links mentioned in course:
🔗 Scrimba’s Learn React Course - https://scrimba.com/learn/learnreact
🔗 VanLife Figma Design - https://scrimba.com/links/figma-vanlife
🔗 Firebase - https://scrimba.com/links/firebase-homepage
🔗 Firestore Docs, get all docs in collection - https://scrimba.com/links/fire....store-docs-get-all-d
🔗 Netlify - https://scrimba.com/links/netlify-home-page
🔗 GitHub Desktop - https://desktop.github.com/
🔗 Mirage JS - https://miragejs.com/

0:00 1: Introduction to React Router 6
4:56 2: Multi-page vs single-page apps
10:12 Extra: Local Development & GitHub Repo
12:25 3: React Router Setup & BrowserRouter
15:40 4: Routes
18:23 5: BrowserRouter & Routes Challenge
19:32 6: Route, Path, & Element
23:48 7: Quick Re-org
24:53 8: Link
28:55 9: VanLife project bootstrapping
37:01 10: Initial Deploy to Netlify
48:47 11: Mirage JS Server
50:41 12: Challenge: Vans Page - Part 1
1:02:09 14: Route Params
1:25:09 19: Nested Routes Intro
1:34:04 20: Fixing the Navbar with a Layout Route
1:46:45 22: Bootstrap the Host pages
1:50:45 23: Nesting the /host routes
1:54:34 24: Creating the Host Layout
2:01:04 25: Relative Paths
2:05:32 26: Index Routes
2:09:24 27: To nest or not to nest?
2:14:34 28: Nested Routes Quiz
2:19:26 29: Add Footer
2:22:47 30: NavLink
2:30:03 31: Active Link Styling with NavLink
2:39:14 33: Adding Host Vans Routes
2:44:28 34: Optimal Side Quest
2:47:49 35: Building the Host Van Detail page
2:56:47 36: Relative Links
3:03:51 37: Back to all vans
3:09:08 38: Add /host/vans/:id Nested Routes
3:17:17 39: Add the Final Navbar
3:23:53 40: Outlet Context
3:29:27 41: Update deployed version on Netlify
3:32:45 42: Search Params Intro
3:40:04 43: useSearchParams
3:48:55 45: Filter the array w/ the search param
3:55:47 47: Using Links to add search params
4:01:57 49: Using the search params setter function
4:08:05 51: Caveats to setting params
4:09:38 52: Merging search params
4:21:13 54: Challenge: Conditional rendering practice
4:25:56 55: Fix remaining absolute paths
4:27:50 56: Back to all vans
4:30:05 57: Link state
4:36:37 58: useLocation
4:47:31 60: 404 Page
4:53:22 61: Happy Path vs Sad Path
4:56:01 62: Update to our fetching code
4:59:02 63: Coding the Sad Path
5:07:37 65: Loaders intro
5:12:03 66: createBrowserRouter
5:18:13 67: Setting up the data router
5:21:00 68: Loader function
5:25:17 70: useLoaderData
5:29:52 72: Use the loader data instead of the useEffect
5:33:51 73: Loaders Quiz
5:37:06 74: Handling errors
5:39:49 75: Add errorElement to vans route
5:42:40 76: useRouteError
5:49:06 77: Initial Login Form
5:51:31 78: Importing image assets in Vite
5:54:22 79: Protected Routes
6:18:28 85: Parallel Loaders Demo
6:22:02 86: Challenge - Protected Routes
6:43:51 91: Send login message prompt to login page
6:46:56 92: Consume message
6:54:37 93: Pass message to Login page
6:58:26 94: Hot Take: Forms in React are bad
7:00:58 95: Setting up for auth
7:13:57 97: useNavigate()
7:17:44 98: React Router Form Component
7:20:41 99: Setting up the action function
7:25:13 100: Add form and action to VanLife
7:27:31 101: Action function
7:32:39 103: Get form data in VanLife
7:34:22 104: Use data in action to log in
7:36:57 105: Better (but still fake) auth
7:44:08 107: Form replace
7:49:23 108: useActionData
7:53:50 109: Action error handling
8:00:00 111: useNavigation()
8:08:07 113: Get previous route pathname
8:15:05 114: redirectTo
8:30:37 117: Deferring data
8:33:35 118: Promises and defer()
8:39:19 119: defer getVans()
8:41:04 120: Await component
8:55:28 123: React Suspense
9:00:27 124: Suspense in VanLife
9:03:51 125: Putting it all together - Defer, Await, Suspense in HostVans
9:08:31 126: errorElements in remaining van loading pages
9:11:55 127: Placeholders are gone!
9:13:57 128: Cloud Firestore
9:23:25 130: Collection reference and getVans() function
9:30:54 131: Create getVan() function
9:35:42 132: Refactor getHostVans function
9:39:29 133: Final loose ends

🔥 Become A Data Scientist Today: https://taplink.cc/simplilearn_data_science
Welcome to this new cybersecurity full course for beginners. In this course, we will understand what is cybersecurity, reasons to learn cybersecurity, cybersecurity jobs and salary. We will also understand in detail about ethical hacking. While learning basics of cybersecurity we will cover, What is a firewall?, What is Ransomware?, What is malware?, What is SQL Injection?, What is Phishing? And much more. Stay tune with the course if you are looking to learn indepth about cryptography, Kali Linux, Intrusion Detection system (IDS), by the end of this course we will take you through the most asked interview questions in cyber security.

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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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- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
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- Industry case studies in cyber security
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- 25+ hands-on projects
- Capstone project in 3 domains
- MIT CSAIL Professional Programs Community

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- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical Hacking
- IDS Firewalls and Honeypots
- Security and Risk Management
- Network Security
- Software Development Security
- Cryptography OSI and TCPIP Models
- Identity and Access Management
- Security Assessment and Testing
- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies

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In this ChatGPT full course, we'll explore how chatgpt is useful in various domains, what is chat gpt and how to use chatgpt, how strong are the competitors of chatgpt and much more.

00:00 ChatGPT Complete Course
What is GPT 4?
Automate Excel using ChatGPT
How to use ChatGPT for SEO?
Chat GPT for Content Creation
Master SEO Content Using ChatGPT
ChatGPT for Marketing
How to Build a Website Using ChatGPT
Chat GPT for Programming
Can ChatGPT Solve LeetCode Problems?
Create a Telegram Bot Using ChatGPT
How To Integrate ChatGPT With Whatsapp
Automate WhatsApp using ChatGPT
Build a Game using Python and ChatGPT
ChatGPT in Cybersecurity
ChatGPT for UI/UX Design
6 Reasons Why ChatGPT Can Make Your Business
9 Ways to Make Money Online Using ChatGPT
Bing vs Bard vs ChatGPT : Comparison
Will ChatGPT and Bard Take Over SEO?

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➡️ 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.

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- Post Graduate Program certificate and Alumni Association membership
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- 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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Unpacking the multilayer perceptrons in a transformer, and how they may store facts
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
An equally valuable form of support is to share the videos.

AI Alignment forum post from the Deepmind researchers referenced at the video's start:
https://www.alignmentforum.org..../posts/iGuwZTHWb6DFY

Anthropic posts about superposition referenced near the end:
https://transformer-circuits.p....ub/2022/toy_model/in
https://transformer-circuits.p....ub/2023/monosemantic

Some added resources for those interested in learning more about mechanistic interpretability, offered by Neel Nanda

Mechanistic interpretability paper reading list
https://www.alignmentforum.org..../posts/NfFST5Mio7BCA

Getting started in mechanistic interpretability
https://www.neelnanda.io/mecha....nistic-interpretabil

An interactive demo of sparse autoencoders (made by Neuronpedia)
https://www.neuronpedia.org/gemma-scope#main

Coding tutorials for mechanistic interpretability (made by ARENA)
https://arena3-chapter1-transf....ormer-interp.streaml

Sections:
0:00 - Where facts in LLMs live
2:15 - Quick refresher on transformers
4:39 - Assumptions for our toy example
6:07 - Inside a multilayer perceptron
15:38 - Counting parameters
17:04 - Superposition
21:37 - Up next

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These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

------------------

3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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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.

I finally found a crazy AI tool that can help you build AI agents by just describing your idea through a simple text prompt. It has more than 1000 integrations, and it works with all your daily apps like Gmail, Google Calendar, Notion, Sheets, and even social media apps.

From email replier, meeting summariser, AI grammar assistant, to even writing social media posts for you, you can build agents for anything

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

The smartest people I know are already using AI agents like this to free up their time.

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

📸 Instagram: https://bit.ly/ishansharma7390ig

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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