This is by far the best explanation of what exactly an AI agent is.
@THC93
Ай бұрын
You mean the use of colours ?
@RyanJohnson
Ай бұрын
@@THC93 makes it more digestable :)
@ajithboralugoda8906
21 күн бұрын
@@THC93 🤣🤣🤣
@eaglebeakv5
Ай бұрын
Give this lady a vacation! this is her way of asking it out loud😂
@samyogdhital
Ай бұрын
😆
@LoveYourFamily2
Ай бұрын
And this has nothing to do with the weather 😅
@crypto_que
26 күн бұрын
She wrote everything backwards so she definitely deserves a vacation
@brandenvs
18 күн бұрын
😂👌
@VRnamek
14 күн бұрын
she's probably an AI agent needing a vacation from all the bogus querying by dumb humans
@gilachess
Ай бұрын
I don't care much about the content but am impressed is how she can write in a backward mirror image. That takes skill !!
@BLACKLOTUSuk
Ай бұрын
Maybe the video was initially recorded normally then they flipped it around to making seem like she’s writing back to front. Either that. Or she is just truly skilled at writing backwards👍🏾
@thorenscientific
Ай бұрын
HaHa I got freaked out when I first watched www.youtube.com/@NancyPi 's videos, for teaching my kiddo some calculus concepts! Took me a while, but figured out the trick!
@Jerominus77
24 күн бұрын
In reality, she's right handed. Great explanation in simple visuals and words.
@bananamaker4877
Ай бұрын
I like the last part when you explained when to use agentic or simple rag approach. Thanks.
@dg-ov4cf
Ай бұрын
Back In My Day We Had A Word For Folks Like You... And Thats A....... U Guess It.... Teachers Pet 📚🪱 My Advice?? Get Ur Head Out Of Those Books For Once Enjoy Ur Life.... Godbless
@user-ir4ff4ss8y
Ай бұрын
I'm not an IT person by any stretch of the imagination, but I'm encountering this technology more and more in my development of a Media Asset Management system for our non-profit media organization. The software products leveraging AI and agents is exploding into our field of view, and this explanation was very helpful. You're helping me anticipate questions and critiques to apply to vendors offering new products.
@lukebudka9980
Ай бұрын
we'll build you that if you want!
@shivamdobariya63
20 күн бұрын
I am a Data engineer, let me know if we can do something together
@miraculixxs
18 күн бұрын
Which technology are you referring to?
@ashishkgp
Күн бұрын
for narrator : Start teaching these concepts along your job, you have a hidden talent : teaching
@HAKhan-hn3ew
Ай бұрын
Fantastic Maya! Your detailed explanation of the shift from monolithic AI models to modular, compound AI systems is enlightening. It's fascinating to see how the integration of LLMs with agent-based systems can enhance adaptability and enable more dynamic interactions across various applications. I'm especially intrigued by the 'ReAct' framework, Combining Reason, Action, and Access memory-as a means to boost AI's adaptability and autonomy. Looking forward to more insights on this topic! With the Rise of AI Agents in 2024, the Age of 'Jarvis' is on the horizon 🤖
@abdulwaqar1707
Ай бұрын
I like the way She explained everything including LLM RAG, Compound AI systems.
@jonathanmasfrancx1228
2 күн бұрын
Stephan, thanks for the presentation. Very nice talk.
@muhammadhilal5807
15 күн бұрын
It was the best high-level explanation of AI Agents by assign the LLM as incharge, and, also highlighting the programatic approach of Compound AI Systems. And the example which concrete the logic of how AI Agents would be doing the complex tasks.
@user-lq9nz9ww7m
Ай бұрын
ur positive energy is contagious and your videos always brighten up my day, thank you!!! 😉
@the.boring.andrew
Ай бұрын
Thank You for the high-level overview! It would be interesting to hear more about tradeoffs between the programmatic and agent approaches (use cases, how agents can be embedded into the existing systems, etc).
@trycryptos1243
Ай бұрын
Nice overall picture of how AI agents are evolving.
@duytdl
Ай бұрын
"What is my purpose?" "You fetch sunscreen bottle" … "oh god"
@hdhdushsvsyshshshs
4 күн бұрын
i got that reference lmao
@NostalgistGuy
13 күн бұрын
Such a profound and insightful video on the internet is available.
@mussen1876
Ай бұрын
This was a really helpful video for me. These IBM videos have really great content.
@IshanParikhBeSelf
24 күн бұрын
Crisp. On-point. Well executed. Kudos to you and your team !
@BoNaha
Ай бұрын
Very valuable video. I think this topic has potential for another couple videos about how we might implement it (bunch of small distilled slm's like phi-3-128k instead of big ones for ex. to make it runnable on some decent (not necessary macs) laptops). Complex systems relatively new concept but we already have overwhelmingly many platforms. tools and techniques like langchain, graphRAG, beam etc. and another important moment is to find the simple way to compare those complex system for efficiency. Crazy interesting topic, Thank You for your effort. Liked
@pratikshitsingh415
Ай бұрын
Great explaination for agents! Helpful! Thank you
@isatousarr7044
Ай бұрын
AI agents are transforming various industries by automating tasks, enhancing decision-making, and providing personalized experiences. With their ability to analyze vast amounts of data, adapt to new information, and interact with users in natural ways, AI agents are becoming integral to advancing technology and improving efficiency across sectors. As they continue to evolve, their potential to drive innovation and solve complex problems expands, offering exciting opportunities for the future.
@drS1lv3r
Ай бұрын
Great topic and very well presented! Thank you!
@PaulMoreira
Ай бұрын
Great explanation of AI Agents! I love working with them and seeing them reason issues.
@HRWU
Ай бұрын
are we gonna just ignore the fact that she writes text as mirrored image effortlessly ?!?!?!?!?!???!!?!?!!!!!!!😱😱😱😱😱😱😱😱
@dboynette
Ай бұрын
stI na laitnesse trap fo eht MBI noitcudni margorp
@akshatjain9005
Ай бұрын
After the video is created, it's reversed so that it looks straight
@NakedSageAstrology
Ай бұрын
Rorri Maesu says useaMirroR 🤣
@MrBrownstick
Ай бұрын
🤣@@akshatjain9005
@InTexas
Ай бұрын
Wow she’s left handed like me :)
@nachoeigu
Ай бұрын
Excellent explanation and overview of the improvements in LLM apps!
@GenAI.Enthusiat
16 күн бұрын
Remarkable clarity, excellent explanation!!
@moderncontemplative
Ай бұрын
Excellent explanation of the next phase of AI development. Never a dull moment these days in the age of AI! I’ve been enjoying IBM courses via Coursera
@nedkelly3610
Ай бұрын
The best advantage of agents is the ability to check and verify each llm output, in addition to querying your leave balance, it can also query your leave entitlement, and how many leave days have been used up, to compare. This will take the accuracy of AI systems from 75% to 99.95%.
@Nikofthehill
Ай бұрын
What kind of a glass white board is used here? Excellent video 👍🏼
@whatdahack71
Ай бұрын
I asked these questions to myself two-three days ago and, by surprise, I was able to answer them by myself as well.
@VanCliefMedia
Ай бұрын
Absolutely! The focus of multi agent systems will be the major need. Ensuring large context can be narrowed and integrated into systems unlocks so much potential. Our software is solving the problems with multi agent group chat productivity environments and I really believe going from the chainsaw of AI to the scalpel is the future 👌
@digitalhero7488
2 күн бұрын
A+ Presentation. Thanks!
@3DVector
20 күн бұрын
Thank you! Best explanation so far!
@jeanpierreleroy299
18 күн бұрын
Thank you so much for this. This will help me in my project
@henryjraymondiii961
6 күн бұрын
According to IBM, an artificial intelligence (AI) agent is a system or program capable of autonomously performing tasks on behalf of a user or another system. These agents design their workflows and utilize available tools to achieve their goals. AI agents can handle a wide range of functionalities, including decision-making, problem-solving, interacting with external environments, and executing actions. They are often built on large language models (LLMs) and can adapt to user expectations over time, providing a personalized experience. AI agents are used in various applications, from software design and IT automation to code-generation tools and conversational assistants.
@anasaberchih9490
Ай бұрын
Clear and consise, thank you Maya Murad, appreciate the informations🙏🏼
@jorgesanabria6484
Ай бұрын
This mental model of agents and LLMs is brilliant.
@prasad_yt
Ай бұрын
Well organised and putting things in a proper perspective
@trimbakmahajan3598
21 күн бұрын
Great explanation!
@sridattamalempati
19 күн бұрын
AI Agent models are broad, complex and yet customizable to the instances, It can retrieve data from our past inputs and give relevant outputs by doing all sorts of thinking, reasoning and iterations.
@keesvandentempel
Ай бұрын
Heel goed uitgelegd; beste presentatie over Agentic systems tot nu toe. E nu het vervolg. Hoe maak je een agentic system?
@richsadowsky8580
Ай бұрын
Very clearly explained and informative.
@dato007
Ай бұрын
How do u benchmark performance ? Seems like probability of errors can go up too. Ref for such research? Thx u.
@AILogics
8 күн бұрын
Thatś the future. Thanks for nice video explanation..
@selfalchemy
Ай бұрын
Very clear explanation. Thank you!
@tianzelou
11 күн бұрын
Thank you! very nice video,I love this❤❤❤
@juhyunkim76
Ай бұрын
Thank you for an excellent lecture.
@sacquer
Ай бұрын
Excellent explanation by Maya! 👏🙌
@RobertJamesFischer-ov7bv
Ай бұрын
I really enjoyed Maya Murad. As a female I appreciate female teachers and I think she is a good choice. I would appreciate it if she taught other topics about AI. ^^
@MelonHusk7
Ай бұрын
This was actually very useful.
@artukikemty
Ай бұрын
Amazing explanation, thanks for sharing!
@JoPadamadan
Ай бұрын
Thanks for the helpful tip! I tried it out and managed to get 5 out of 5 as well. I'm still in demo mode, but this gives me hope for when I start trading for real
@markuaunyong929
18 күн бұрын
We all know that AI operates on massive amounts of data from the crowd and follows the commands we input. What if we divided the AI's brain mechanism into three main parts: 1. Random real data (instead of waiting for human input), 2. Correcting random data, saving corrections, and looping (similar to the body's immune system remembering how to eliminate pathogens), and 3. Genetic code (the defined behaviors and rules of AI)? For example, humans have different personalities. Some are born perfect, intelligent, and cheerful, while others are aggressive. (To create behaviors that lead to progress and safety, we can remove negative traits, similar to genetic engineering.) For instance, greed leads to decline, aggression and anger lead to violence, and delusion or stupidity hinder progress. In summary, we can remove these three emotions. (Expected outcome) Create errors and successes for AI to learn from various error data through looping, memorization, and self-improvement, similar to human behavior that seeks self-development. In conclusion, to create AI that closely resembles humans, we need to integrate the brain mechanism and the crowd. Comparing the crowd to clear water and the brain mechanism to red color, when we combine them, we get red water. AI brain: Red water.
@marcusshamase2050
10 күн бұрын
Good explaination.
@SuperCatbert
Ай бұрын
its a decent explanation, but i feel we are granting LLMs too much credit. They don't reason. They number crunch for the highest probability. That is all. And as for complex agentic behaviour, I can see over time their output becoming less stable not more as we add complexity. Imagine being told 1 minute you need 3 bottles, then running it again, and being told you need 5. Even that small a variation is outside what humans can generally achieve. Costs will rise, and so will variability.
@Elaba_
6 күн бұрын
Will they win the fight against Mr. Anderson?
@felopatermaher9608
Ай бұрын
Great clarify Thank you Maya.
@TheFocusedCoder
26 күн бұрын
Great overview, this is iconic
@scooterjs6767
Ай бұрын
This feels like such an intermediary technology. We only need this because LLM's can't remember what they are working on. I expect the backtracking to be built into the LLM in a few years.
@ozee051
Ай бұрын
Thanks for the amazing explaination.
@GatherVerse
Ай бұрын
Well done and hope Miss Maya will speak at our AI Summit in September for a Fireside discussion at GatherVerse AI Evolve Summit. Well done and thank you.
@collimarco
Ай бұрын
The next step would be agents that build their own "programmatic" way to solve the problem when it is a repetitive task
@abdellatifBELMADY
Ай бұрын
Great explanation, thank you!
@FrankenLab
4 күн бұрын
I think the question we all are wondering in the backs of our minds is "Are all of you REALLY that good at handwriting backwards" and how are you really doing it? 🙂
@gt70digital
Ай бұрын
awesome and unique presentation!
@sk3ffingtonai
6 күн бұрын
Excellent presentation, Maya. Thank you for explaining this concept so well. Have fun on your vacation!
@ltgwgeorge2155
Ай бұрын
Beautiful stuff, Thank you so much🎉
@ritwiktrivedi
26 күн бұрын
Writing in reverse must be difficult. Kudos for clear explanations despite writing this way.
@user-jg3fw5pi4j
Ай бұрын
Great explanation. 1 question, how to set the control logic?
@aleksandreliott5440
23 күн бұрын
This was a fantastic video
@volkerkrux7311
13 күн бұрын
You explained in 12min what would take me 90min! What a great job! This helps sooo much getting people with no background in AI in our companies to understand what the devs are doing and why! thanks a lot!
@ImranGhani
11 күн бұрын
Well explained.
@sai_ai-z1c
16 күн бұрын
Whoa, that sounds wonderful to use AI agents to automate monotonous chores like data entry! SmythOS and how it facilitates that form of AI cooperation have always piqued my interest. Having AI do these chores can free up a ton of creative time! #aitools #smythOS
@ep4now
Ай бұрын
<a href="#" class="seekto" data-time="575">9:35</a> AI: the recommended number of 20-ounce sunscreen bottles is 5,222,429. You're welcome."
@aleclippe6213
Ай бұрын
How long until AI agents are good enough for IBM consulting to turn a profit?
@AxelZein
22 күн бұрын
very well explained. bravo!
@MrNezlee
Ай бұрын
Is it possible to fine-tune LLM by positively learning the conversations of AI agent teams that performed well on a projects and negatively learning the conversations of agent teams that performed poorly?
@souvikroy5
Ай бұрын
Brilliant Explanation!
@markrosenberg4369
17 күн бұрын
Very nice. But how can all this be implemented in a script? How is it done practically?
@DannyTan-dm5ou
23 күн бұрын
If you are prone to burning, I would agree it is a complex problem haha Great video!
@feliperodrigues5626
Ай бұрын
Tópico interessante e atual, me faz lembrar do João Moura e CrewAi, um brasileiro despontado na ideia e execução de agentes através de sua plataforma. Thanks for the knowledge sharing, nice content.
@rohithbabun2512
Ай бұрын
How do we get to this point being a complete beginner to this AI technology domain ?
@GeetanjaliPusapati123
Ай бұрын
While traditional AI agents require extensive coding and technical expertise, SmythOS revolutionizes AI development with its no-code interface, making it accessible to all. SmythOS's robust integrations and secure, collaborative intelligence capabilities surpass the limitations of standard AI agents
@joemcginnis3296
Ай бұрын
The community appreciates your time, dedication and passion to share your knowledge on AI topics.
@abdulwaqar1707
Ай бұрын
Very informative.
@dostupnostpredevsim
Күн бұрын
Either she write with left hand backwards, or she lives in mirror universe writing with right hand forward. Oh, Im too tired of even thinking about it.
@johnnyBrwn
16 күн бұрын
Jesus, I was not expecting this to be this good! Incredible value in such little time!
@timetimetime3985
Ай бұрын
Does RAG model are searching in database if you ask a question? Or does LLM considered as database or a huge .txt file? Then if you ask a gpt it look for answer in that file then give it back to you just like what google did or normal fetch query?
@AI-Wire
Ай бұрын
1. When will this be available? 2. Are there any UI demos?
@MaxThibodeaux
29 күн бұрын
See Wargames starring Matthew Broderick.
@sirishkumar-m5z
22 күн бұрын
AI agents are like digital workers who can think and act alone to help industries with tasks. SmythOS features agents for data analysis, client service, and automating workflows, all handled without coding expertise. Inspiring chances!"
@lorenzosantoro7903
25 күн бұрын
Is simple reflex agents' logic controlled by LLM as well? Is ChatGPT considered an AI agent chatbot?
@FingersKungfu
Ай бұрын
It’s Agent as in “Agent Smith” (in the Matrix). They are special.
@Nieosoba
Ай бұрын
The big question is: is it more cost-efficient to use AI to solve mostly redundant, repetitive and easy problems? It is cool to see AI generate tasks for teams based on technical requirements or plan holiday, but is this automation worth the money? Are all of those low value added organization/office tasks where labour is cheep anyway? What about industrial AI? I think this concept don't even make sense, it is against principle logic of automated industrial production. You can implement it, but it will probably result in more costs than value added to the products. Will cost of AI usage fell down when it will scale? Not sure about this, agents are good to move towards some more realistic usage of LLM
@supersmart671
Ай бұрын
Compound is spelt as Coumpound...that is quite interesting...
@shahajikadam-b1m
Ай бұрын
Can AI agents (such as customized ChatGPT) internally connect with different tools to gather information?
@NakedSageAstrology
Ай бұрын
I am working on an LLM agent system where each LLM is roleplaying as a different function of the mind. Each layered to be seemingly separate, yet whole and complete. Looking for help if you want to volunteer.
@Jeremy-Ai
Ай бұрын
Motive is undetermined. It is probably best to avoid this path. or… present undeniable leadership over time through open sharing of motives to all. All the time. On Every platform. No one should go down this path without motive made clear. Understood? Take care Jeremy
@imatthewryan4076
Ай бұрын
give her a vacation already, IBM
@AgentZeroFW
Ай бұрын
Just yesterday I launched a prototype of a new agentic framework - Agent Zero.
@hedonicas
Ай бұрын
Coumpound. Do you guys really write backwards? 😃
@Lalee10
29 күн бұрын
It is a mirrored video
@jaffarbh
Ай бұрын
This video is pretty awesome, though I think it makes things sound a bit more complicated than reality.
@saumitrabiswas4077
Ай бұрын
Please tell where can I learn all these Technologies
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