Top videos

What is Retrieval-Augmented Generation (RAG)?

Generative AI
24 Views · 2 years ago

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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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Mega Hits 2024 🌱 The Best Of Vocal Deep House Music Mix 2024 🌱 Summer Music Mix 2024 #205

Generative AI
22 Views · 2 years ago

#BestOfVocalDeepHouse #RelaxingMusic #HouseMusic2024

Mega Hits 2024 🌱 The Best Of Vocal Deep House Music Mix 2024 🌱 Summer Music Mix 2024 #205
Mega Hits 2024 🌱 The Best Of Vocal Deep House Music Mix 2024 🌱 Summer Music Mix 2024 #205
Mega Hits 2024 🌱 The Best Of Vocal Deep House Music Mix 2024 🌱 Summer Music Mix 2024 #205

@ImagineDeep68 @RuDeepRadio @artemismusic1000

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🎬Video Footages Used:

"🌿 Video By: Gaëtan Piolot
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🎶Music By :

🌿Follow Deep Disco Records
➤https://www.youtube.com/@DeepdiscoRecords
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00:00:00 | 1. Sun Goes Down-Robin Schulz
00:02:24 | 2. Dj Dark & Mentol - Supergirl (feat Georgia Alexandra)
00:05:57 | 3. Austin Mahone - What About Love (Suprafive Remix)
00:09:40 | 4. All Night - Paul Lock
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00:15:11 | 5. Forget You - Paul Lock
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00:20:24 | 6. All I Want (Marc Philippe Remix) - Paul Lock
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00:23:55 | 7. Losing My Mind - Paul Lock
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00:29:45 | 8. Keep Loving You - Paul Lock, Tommy , Pete Bellis
https://youtu.be/DFZQhJwbc1E?si=HCGsNdSnWIqqN-2J
00:34:04 | 9. Just A Dream - Paul Lock
https://youtu.be/yuE7biiP8Hc?si=fnQXF--M2Iy-uDLP
00:40:03 | 10. Like, Whatever (Original Mix) - Paul Lock
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00:45:39 | 11. Night Into Day (Original Mix) - Paul Lock
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00:50:00 | 12. We Made It (Original Mix) - Paul Lock
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00:53:47 | 13. Break Away - Costa Mee
https://youtu.be/qBN05pOS82w?si=LBG5NVK5Gyei4EE8
00:57:27 | 14. I Feel Crazy - Housenick
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01:03:54 | 15. I'll Be OK - Millios
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01:07:11 | 16. Left Me In The Rain - Pete Bellis & Tommy, Costa Mee
https://youtu.be/qJ0-Bpn_ZzQ?si=6Zi241uw8_FN-ZKL

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♦ If any manufacturer, record label, artist or photographer has trouble uploading music or videos, please contact us and we will delete your work immediately. Thanks! ♦ We try to find the best and most interesting song for you! We hope to make your day more beautiful with the music we share! Peace, love and music. I am also a music producer, I am working on this project!

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RAG vs. Fine Tuning

Generative AI
30 Views · 1 year ago

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

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

QUEM ESTÁ USANDO O TRAJE DO PANTERA? TRAILER PANTERA NEGRA ANÁLISE COMPLETA!

Machine Learning
2,854,953 Views · 4 years ago

Este Robot Imparable podría Salvarte la Vida | Veritasium en español

Machine Learning
2,121,665 Views · 4 years ago

¿Cuál es la próxima Crisis? - Entrevista a Bill Gates - Veritasium en Español

Machine Learning
2,889,746 Views · 4 years ago

Почему женщины полосатые? [Veritasium]

Machine Learning
2,545,104 Views · 4 years ago

4K HDR 60FPS ● Sniper Will Smith (Gemini Man) ● Dolby Vision ● Dolby Atmos

Generative AI
2,967,216 Views · 4 years ago

Personal Website Tutorial with Next.js 13, Sanity.io, TailwindCSS, and TypeScript

Generative AI
3,399 Views · 3 years ago

Learn how to build a personal website with Next.js 13 for the frontend and Sanity.io as the content backend. You will also be introduced to TailwindCSS for styling and TypeScript for type safety and improved developer experience. By the end of this tutorial, you will have a fully functioning, deployed personal website that you can continue building on.

✏️ Kapehe Sevilleja developed this course.

💻 Code: https://github.com/kapehe-ok/next-sanity-test
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🔗 Next.js links: https://nextjs.org/docs & https://nextjs.org/blog/discord
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🔗 TailwindCSS: https://tailwindcss.com/docs/installation
🔗 TypeScript: https://www.typescriptlang.org/
🔗 Kapehe's Twitter: https://twitter.com/kapehe_ok

🏗 Sanity provided a grant that made this course possible.

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:03:48) Finished project
⌨️ (0:06:06) Starting Next.js
⌨️ (0:09:17) Starting Sanity.io
⌨️ (0:12:04) Overview of Sanity.io
⌨️ (0:15:05) Sanity.io Manage Dashboard
⌨️ (0:16:28) GROQ query language
⌨️ (0:18:03) Embedding the Sanity Studio
⌨️ (0:20:38) Routing in Next.js 13
⌨️ (0:27:37) next-sanity library
⌨️ (0:31:09) First Sanity schema
⌨️ (0:39:05) Displaying data
⌨️ (0:42:38) First GROQ query
⌨️ (0:45:03) Mapping over projects
⌨️ (0:49:47) Setting up TypeScript types
⌨️ (0:54:34) Adding TailwindCSS
⌨️ (1:06:40) More on the Studio
⌨️ (1:09:52) Images in Next.js 13
⌨️ (1:13:52) Individual project pages
⌨️ (1:22:41) Styling project pages
⌨️ (1:31:21) The NavBar
⌨️ (1:35:38) Next.js organizational folders
⌨️ (1:41:50) Pages schema
⌨️ (1:58:28) Deploying to Vercel
⌨️ (2:01:33) Sanity real-time updates
⌨️ (2:03:22) Recap
⌨️ (2:04:29) Outro

🎉 Thanks to our Champion and Sponsor supporters:
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Stanford Seminar: Deep Learning in the Age of Zen, Vega, and Beyond

Generative AI
3,998 Views · 3 years ago

EE380: Computer Systems Colloquium Seminar
Computer Architecture : Deep Learning in the Age of Zen, Vega, and Beyond
Speaker: Allen Rush, Advanced Micro Devices, Inc.

Deep Learning and Machine Intelligence is maturing to the point where is it is being deployed to many applications, particularly large data, imaging classification and detection. This talk addresses the challenges of deep learning from a computational challenge perspective and discusses the ways in which new compute platforms of Zen (x86) and Vega (GPU) provide high performance solutions to different training and inference applications. The ROCm software stack completes the support with libraries and framework support for a variety of environments.

About the Speaker:
Allen Rush is a fellow at AMD, focusing on imaging and machine learning architecture development. He has been active in imaging and computer vision projects for over 25 years, including several startups. He is the domain architect for ISP and current machine learning development activities in HW, SW and application support.

For more information about this seminar and its speaker, you can visit http://web.stanford.edu/class/....ee380/Abstracts/1701

Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum.

Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.

Learn more: http://bit.ly/WinYX5

🔥 Jenkins Crash Course 2023 | Learn Jenkins In 2 Hours | Jenkins Fundamentals | Simplilearn

Generative AI
17 Views · 3 years ago

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🔥Gen AI Full Course | Gen AI Tutorial For Beginners | 🔴 Live | 2024 | Simplilearn

Machine Learning
19 Views · 2 years ago

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About the Webinar
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In this enlightening session, we will explore key components of our Applied AI Course, including:

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✅ Build Generative AI-enabled applications through hands-on projects
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✅ Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
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Applied Gen AI Course Advantage
Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.

Applied Gen AI Course Details

Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.

Learning Path
✅ AGS: Program Induction
✅ AGS: Python Basics (Optional)
✅ AGS: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ AGS: Advanced Generative AI - Models and Architecture
✅ AGS: Advanced Generative AI - Building LLM Applications
✅ AGS: Advanced Generative AI - Image Generation Capabilities
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Electives:
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✅ Explainable AI
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✅ Generative Adversarial Networks GANs
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✅ LLM Architecture
✅ Attention Mechanism
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Strengths and Weaknesses of Large Language Models

Generative AI
29 Views · 11 months ago

This is the first of a series of two videos on AI Agents.
In here, we talk about the strengths and weaknesses of LLMs, focusing on a specific example: Why are LLMs unable to tell good jokes, yet they can write such good poems?
This sets the tone for the next video on AI Agents.

Second video - Agents, Reasoning Models, and RAG: https://www.youtube.com/watch?v=xXL0gMo9Lso

1. Algorithms and Computation

Generative AI
18 Views · 9 months ago

MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The goal of this introductions to algorithms class is to teach you to solve computation problems and communication that your solutions are correct and efficient. Models of computation, data structures, and algorithms are introduced.

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What is Retrieval-Augmented Generation (RAG)?

Mega Hits 2024 🌱 The Best Of Vocal Deep House Music Mix 2024 🌱 Summer Music Mix 2024 #205