I wish every AI Engineer could watch this.

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Published 2024-05-22
🚀 Timestamp 🚀
00:00 Intro
00:02 Understanding the framework for using LLMs in various applications
02:15 Question answering with LLM
06:54 Chatbots need more than short-term memory for effective use.
09:13 LLM is central to leveraging prompt, short-term, and long-term memory
13:46 Importance of Context Window in Language Models
15:55 Implement retrieval augmented generation for chatbots
20:06 Leveraging LLM for NLP tasks
22:20 Function calling in AI models enables structured responses.
26:18 Understanding the concept of Agents in AI
28:30 Agents are the next Frontier in AI development.
32:24 AI developing with extended tools and memory capabilities.

🔗 Links 🔗

This video talks about gives a blueprint for LLM Apps. It talks about 5 different LLM levels framework for building AI Apps.


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All Comments (21)
  • @LogicaIn
    An Indian man explaining something rather complex but so simply and smoothly on YouTube Always a classic! Cheers from Brazil 🇧🇷🤝🇮🇳
  • @user-jg4ci4mf8w
    You just taught an entire course in 34 minutes. We Want more! We want more!
  • @AInotebooks
    This guy deserves serious attention, content is amazing
  • You have so beautifully distinguished and clarified these similar yet different concepts .
  • @BOSS_1417
    I hope this blows up and you continue the series
  • @dkx8477
    Finally some content that puts everything so well together, like a delicious home made recipe, thank you and keep up the good work!
  • @captainoddessy
    Thank you for this amazing course. I would be fantastic if you do more of them.
  • @golmatol6537
    Wonderful !! For last 6 months, I have been going from video to video ... blogs ... articles etc ... just getting more and more confused as to how all these terms relate to each other. This has put a lot more structure to those terms. Of course, I need to still read up a lot before even deep-diving into these topics.
  • @kpmaynard
    Excellent!! Thank you for the comprehensive tour.
  • I first thought that name of video is very catchy, but as soon I started video I got to know this video deserves this title. Thanks for such a great video
  • @imdragony
    Thanks for this video. I knew every piece of it but your lecture connected them in my brain. Super good one. Looking forward for the next.
  • @AI_Sebek
    Nice! This pyramid way of looking at the progression really helped me see the bigger picture and where we're headed. 🙏🏾
  • @cycologist8615
    Loved the content! Looking forward to hearing your deep dive into agents!
  • @sady01
    Loved how much you have simplified the concept, given a structure to a lot of floating bits and pieces. You have definitely earned a subscribe. If I was forced to give a feedback, maybe have some live demos the next time, but this was more than perfect. Thank you!
  • @DarwinSantos
    This is perfect! Please, more. And thank you for making everything so accessible!!
  • Simply awesome clarity of thoughts and knowledge. Looking fwd to see more like this. Great
  • @BindasBadshah
    Extremely delightful and your examples were right on point. By placing topic breakdown in comments has helped me immensely the topics I am very weak on. Thank you so much
  • I really appreciate this video thank you for sharing your knowledge and providing context and clarity
  • @lukekenny3242
    Love the video looking forward to the rest of the series. It’s very hard to understand all this but this video really helped me understand the concepts. It would be awesome if you could just put a bunch of personal information in a PDF and feed it to the LLM as a mini rag, but it always has to refer to.