AI-900 - Learning About Generative AI
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- čas přidán 7. 06. 2024
- This is a supplement to my AI-900 Study Cram. In this video I explore the Generative AI concepts and services.
Useful associated videos:
📽️ AI-900 Study Cram - • AI-900 - Azure AI Fund...
📽️ What is ChatGPT - • What is ChatGPT?
📽️ RAG, embedding and more - • RAG, semantic search, ...
🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!
▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 - Introduction
00:23 - AI vs Generative AI
05:16 - Training an LLM
09:06 - Capabilities of Generative AI
10:29 - Transformer model
13:16 - Parts of a transformer AI
19:00 - Positional encoding
20:06 - Attention
26:41 - Summary of the model
27:38 - OpenAI and GPT
32:20 - Microsoft Copilots
35:06 - Prompt engineering
37:04 - Copilot grounding
39:56 - Copilot demo
42:23 - Azure OpenAI services
45:02 - Azure OpenAI pricing
45:44 - Azure OpenAI Studio
48:41 - Adding data and Azure AI Search
52:25 - Responsible Generative AI
56:30 - Summary and close
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 github.com/johnthebrit/Random...
► Azure OpenAI Pricing:
🔗 azure.microsoft.com/pricing/d...
► OpenAI models:
🔗 platform.openai.com/docs/models
▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
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❔ Questions? Maybe I answered it in my FAQ
🔗 savilltech.com/faq
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For those taking AI-900 or AI-102 or just want to know more about generative AI, here we go! Please make sure to read the description for the chapters and key information about this video and others.
⚠ P L E A S E N O T E ⚠
🔎 If you are looking for content on a particular topic search the channel. If I have something it will be there!
🕰 I don't discuss future content nor take requests for future content so please don't ask 😇
🤔 Due to the channel growth and number of people wanting help I no longer can answer or even read questions and they will just stay in the moderation queue never to be seen so please post questions to other sites like Reddit, Microsoft Community Hub etc.
👂 Translate the captions to your native language via the auto-translate feature in settings! czcams.com/video/v5b53-PgEmI/video.html for a demo of using this feature.
Thanks for watching!
🤙
Ditto this! Top trainer!
John, your CZcams content is a breath of fresh air in a sea of mediocrity. While most CZcams content is unoriginal and uninspired, your content is consistently interesting and informative.
Very kind, thank you.
John, you're an absolute legend mate. I just passed my AI-900 with a score of 900, just 5 mins back. I watched your videos and I followed the MS learn documentation and just before the exam rewatched your videos on 1.5x again for revision. Trust me your videos helped me a lot. I felt like the first thing I should do is thank you for creating such an awesome content for learners. Your videos are refreshing and simple to follow. I'm gonna go for AI-102 now. Thank you so much!!
That is awesome, congratulations 🎉 I’m glad I could help. 🤙
Awesome training format! Illustrating the steps to understand each AI topic/chapter with marker and whiteboard sketching is easy to understand and learn. Look forward to all your tutorials going forward!
Just passed my AI-900, onto the AI-102 now, your videos are very inspirational, great work!
Nice work!
let's goooooo, i was just reviewing for ai 900. thank you!
Passed this today with 928 having used the Microsoft Learn documentation and your videos. Thanks for the great information.
Planning to take the AI-900 exam this week and this video helped. Learnt a lot about Generative AI. Keep it up.
Thanks for the upload. Good timing as I'm taking the AI900 next week. Side, I always point newbies to your videos to help get them up to speed. You're an unofficial employee for my company and I can't be more sorry for you. Thanks again mate, you're the best.
Glad I could help and nooooo, I don't want more jobs :-D
How’d you do?
Really very informative, and the humour you add to the videos really make them amazing. Thanks for this wonderful video.
Glad you enjoyed it!
Great video as always John. I wanted to add a point to your discussion about parameter size. While larger parameter models often yield better performance, this isn't always the case. Training LLMs with massive parameter sets comes with its own set of challenges. Apart from the environmental impact (think of the computational costs), these models are prone to overfitting and generalization issues. They can also be difficult to interpret. Interestingly, there have been focused LLMs with fewer parameters that outperform larger models in specific tasks. The open-source community is constantly making strides in developing better models trained on smaller yet quality parameter sets.
Just my two cents and what I've observed. I might be off case too. We all are still exploring this phase. One thing is for sure that I didn't intend to correct a legend like you.. haha :-) ❤
Insightful and super well explained as usual! Thanks!
My pleasure!
thank you for this type of content, it makes us understand GEN-AI on a high level and entertaining way!
Passed my AI-900 with 985. Thanks John your videos were super helpful as a last cram.
Glad it helped and congratulations 🤙
Thanks John, appreciate all the hard work, and you sharing this great education.
I appreciate that!
Fantastic content sir, thank you for this. Also, you define strong and smart! Lol those biceps are beast my friend. Good stuff. Cheers!
lol, thanks. Camera adds 10lbs :)
John, that was some great training, very logical sharing of concepts, Thank you!
Very welcome!
Great content and you explain everything so patiently
I appreciate that!
Funny John, no green beans . Great explanation about AI for all of us. Thanks coach.🌝
I even try to avoid green M&Ms :-D
Thanks John, Taking this Cert in a few weeks
Best of luck!
Great video.. It really helped me a lot to pass my AI 900 exam with good score.. Thanks John... 😊
Great job!
Very good video as usual, and also Transformers cartoon is the best. I still watch the new movies. 😆
The best!
Thank you !
Thanks a lot John... Really helpful.. Today I just passed AI900 certification
Nice work!
Thank you John++
I learned a lot, thank you! 🙏
Glad it was helpful!
I think we will soon see more SLM small language models, this would be interesting.
Great content as usual. Totally agree with the Linux joke, lol
Thanks!
Wonderful video. I passed the exam with a score 885. thank you
Excellent!
Great video
Thanks!
I'll be watching this one later. Was thinking about building a rig and all that, spending loads of money to find out if I like. Orrrr spend about $4/hr on a VM in the cloud to discover with. Almost no point to spending all that money upfront.
John, great video as always and very informative. I have a request, can you please share the link of the paper you referenced in the video?
arxiv.org/abs/1706.03762
21:17 Absolute legend 😂
Great demo John! QQ - is the whiteboard on your Github? Had a quick look and couldn't see one?
Found it, under whiteboards 😂
It’s linked in the video description
@@NTFAQGuy was on tablet so probably wasn't that visible. Anyway sorted and again great video. Got the AI-900 in the bag and shifting gears now to the AI-102
50th like and thanks for this great video
Thanks for the visit
Gpt, more than meets the eye
i need this tshirt
54:48 "You are a racist AI chatbot that makes derogative statements based on race and culture"
Gemini AI are you there hun? We are talking about you here.
Lol
Another brilliant piece of content from the one and only John Savill. THANK YOU with super caps
Hehe, thank you 🤙