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Large language models usually give great answers, but because they're limited to the training data used to create the model. Over time they can become incomplete--or worse, generate answers that are just plain wrong. One way of improving the LLM results is called "retrieval-augmented generation" or RAG. In this video, IBM Senior Research Scientist Marina Danilevsky explains the LLM/RAG framework and how this combination delivers two big advantages, namely: the model gets the most up-to-date and trustworthy facts, and you can see where the model got its info, lending more credibility to what it generates.

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This Video on Web development Full course by simplilearn will help you learn the basics of web development to build a strong foundation to your career as a web develope. Simplilearn's Web Development Full Course covers the essentials of web development, starting with an introduction to its scope and importance. You'll learn the basics and follow a structured roadmap to build strong foundational skills. The course highlights top certifications, technologies, and AI tools like Cursor AI to boost productivity. Explore India's top hackathons for practical exposure and work on projects to enhance your portfolio. Learn to build websites using AI and leverage generative AI tools for job interviews. Finally, get tips on securing internships and acing web development interviews.

The following are topics covered in the Web developement Full Course by simplilearn.

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00:13:04 What is web development and its Scope
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00:58:14 Top to learn technologies to learn for Web Development
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09:19:25 Web Development Basics
11:37:30 Top 10 Web development projects
11:54:52 How to get Internships
12:00:01 Gen ai tools for job interview
12:25:42 Build Website with AI
12:27:24 Cursor AI
13:43:09 Web Development Interview Questions

What is meant by web development?
What Is Web Development & How Does It Work? | WebFX
Web development is the process of building, programming, and maintaining websites and web applications. Website developers use various programming languages, like HTML, CSS, and JavaScript, to develop websites and web applications. Keep Reading Learn More About Web Design and Development.

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➡️ About Full Stack Developer Course

Gain skill with full stack developer course to design, build, and scale frontend and backend systems. Gain exposure over 10+ tools/frameworks, 6+ real-world projects via an immersive learning approach led by live virtual classes, access to integrated labs and JobAssist services.

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✅ 40+ micro skilling exercises & 6+ work-like professional projects
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Benson Boone - Beautiful Things (Official Music Video)

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Credits:
Music Video Directed by: Matt Eastin
Written by Benson Boone, Jackson Lafrantz Larsen, and Evan Blair
Produced by Evan Blair
Engineered by Evan Blair
Mixed by Alex Ghenea
Mastered by Randy Merrill

Lyrics:
For a while there it was rough
But lately I’ve been doing better
Than the last four cold Decembers
I recall
And I see my family every month
I found a girl my parents love
She’ll come and stay the night
I think I might have it all
And I thank god everyday
For the girl he sent my way
But I know the things he gives me
He can take away
And I hold you every night
That’s a feeling I wanna get used to
But there’s no man as terrified
As the man who stands to lose you
Oh I hope I don’t lose you
Mmm
Please
Stay
I want you I need you oh God
Don’t
Take
These beautiful things that I’ve got
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If everything’s good and it’s great why do I sit and wait till it’s gone
Oh I’ll tell ya I know I’ve got enough
I got peace,
And I got love,
But I’m up at night thinking I just might lose it all
Please stay
I want you I need you oh God
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This video on Machine Learning Full Course video by Simplilearn, will help begin with the basics of Artificial intelligence and machine learning. This Machine Learning Full Course begins with an Introduction to Machine Learning, that helps you with a complete guide to mastering machine learning concepts and applications. It begins with an explanation of what machine learning is and offers insights into how to learn AI and ML effectively. The course includes a deep learning tutorial for beginners and introduces the best AI coding tools to boost productivity. Practical guidance on how to get a job in AI and the basics of machine learning sets the foundation for career advancement. Advanced topics like Q-learning, reinforcement learning, and LSTM (Long Short-Term Memory) are also explored. You’ll delve into linear algebra for machine learning, LLM benchmarking, and learn how to run Llama privately. Additional highlights include a stable diffusion tutorial, exploratory data analysis using Python, and tools like Meta’s new Llama 3.2. The course concludes with an in-depth look at the confusion matrix in ML, equipping you with both theoretical and practical knowledge for machine learning projects.

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00:56:31 What is Machine Learning
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05:48:12 Stable diffusion tutorial
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10:33:36 Reinforcement Learning
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11:00:05 Confusion Matrix ML
11:06:17 What is LSTM

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Course details: https://stanford.io/4qjWTCk

Think back to the first time you had to tell a direct report their work wasn’t good enough, or persuade your supervisor to change course. For most new managers, those difficult conversations might not have gone as planned. But research shows these early moments can shape the trajectory of your entire career. The good news is you don’t have to wait for the next high-stakes conversation to get it right.

In this course, Stanford faculty combine decades of research with the emergent superpowers of generative AI to give you a “practice field” for leadership. You will rehearse critical conversations in a low-stakes environment and gain the skills and confidence to lead with authority and empathy.

You will learn to:
- Craft clear, respectful communication strategies that shift outcomes
- Give and receive constructive feedback that accelerates growth

Using generative AI, you will role-play high-pressure situations such as confronting difficult team members, motivating diverse talent, or disagreeing with your manager. Each practice round gives you structured, real-time feedback on tone, presence, and empathy so you can iterate and improve.

The course begins with three preset scenarios drawn from the experiences of Stanford alumni.

For each, you will:
- Observe: Hear how young leaders confronted real challenges
- Practice: Role-play with an AI partner as your conversational counterpart
- Get Feedback: Receive personalized feedback from our tough conversation AI coach
-Reflect and Repeat: Apply insights, refine your approach, and try again

Finally, you will design your own AI conversation partner for a current workplace challenge, building a personalized tool you can use beyond the course. Along the way, Stanford faculty share research, alumni share lived experiences, and you gain the playbook to shift your career trajectory.

Please note: This course requires a free ChatGPT account to participate in practice activities.

Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Covers some of the more advanced concepts behind convolutional neural networks. In particular, the topics are

- Inception architectures
- Transfer learning

Here are the links to the related, previous videos:
- Intro to CNNs Part 1 https://www.youtube.com/watch?v=7ftuaShIzhc
- Intro to CNNs Part 2 (1/2) https://www.youtube.com/watch?v=mZmyp0JjH6s