Give this lady a vacation! this is her way of asking it out loud😂
@samyogdhital2 ай бұрын
😆
@LoveYourFamily22 ай бұрын
And this has nothing to do with the weather 😅
@crypto_que2 ай бұрын
She wrote everything backwards so she definitely deserves a vacation
@brandenvs2 ай бұрын
😂👌
@VRnamek2 ай бұрын
she's probably an AI agent needing a vacation from all the bogus querying by dumb humans
@cobrito65332 ай бұрын
This is by far the best explanation of what exactly an AI agent is.
@THC932 ай бұрын
You mean the use of colours ?
@RyanJohnson2 ай бұрын
@@THC93 makes it more digestable :)
@ajithboralugoda89062 ай бұрын
@@THC93 🤣🤣🤣
@chriswheeler609228 күн бұрын
It's a good video. I just don't really feel like it's worth my time and effort to create something like that. I am more interested in Biotech.I know that I would be likely to use it and benefit from it, but it's a pea in the pod or 1 small part of a larger entity.
@jefcavens949816 күн бұрын
Hear hear!
@gilachess2 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 !!
@BLACKLOTUSuk2 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👍🏾
@thorenscientific2 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!
@Jerominus772 ай бұрын
In reality, she's right handed. Great explanation in simple visuals and words.
@orkhanahmadov9963Ай бұрын
are you insane? she is writing from left to right and she is right handed.. Its just the video is being mirrored/flipped :D :Dlol
@blanjahape530Ай бұрын
Glass Lightboard and then flip
@ProductionDept-s5m2 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.
@lukebudka99802 ай бұрын
we'll build you that if you want!
@shivamdobariya632 ай бұрын
I am a Data engineer, let me know if we can do something together
@miraculixxs2 ай бұрын
Which technology are you referring to?
@srinikatta11Күн бұрын
Maya does a great job by breaking complex topics into consumable chunks.. Thank you
@anthonyiocca5683Ай бұрын
I went to school using black boards with chalk. They are quarried from slate carefully mounted to the wall of classrooms. Blackboards got replaced by white dry erase boards. Also used with projectors. Large touch monitors became all the rage. This is my first look at a illuminated rear mirrored clear board. Another cat’s meow…
@light_70Ай бұрын
IBM Technology, thanks for making such videos on topic with easier explanations.
@abdulwaqar17072 ай бұрын
I like the way She explained everything including LLM RAG, Compound AI systems.
@vt145410 күн бұрын
IBM Videos are the best. Great way of explaining a complex topic in < 15 minutes.
@bananamaker48772 ай бұрын
I like the last part when you explained when to use agentic or simple rag approach. Thanks.
@dg-ov4cf2 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
@IBMTechnologyАй бұрын
Glad it was helpful!
@muhammadhilal58072 ай 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.
@nasimobeid29459 күн бұрын
Very useful. Thanks! I am doing my PhD research on the possibility of integrating Agentic AI into RPA. It cleared a lot of things to how to tackle it
@isatousarr70442 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.
@glowshedfilms3 күн бұрын
Wow, she was really great at explaining the concept! Now it makes sense. Would be great to have a simulated version of this person as a teacher! :D
@ashishkgpАй бұрын
for narrator : Start teaching these concepts along your job, you have a hidden talent : teaching
@HRWU2 ай бұрын
are we gonna just ignore the fact that she writes text as mirrored image effortlessly ?!?!?!?!?!???!!?!?!!!!!!!😱😱😱😱😱😱😱😱
@dboynette2 ай бұрын
stI na laitnesse trap fo eht MBI noitcudni margorp
@akshatjain90052 ай бұрын
After the video is created, it's reversed so that it looks straight
@NakedSageAstrology2 ай бұрын
Rorri Maesu says useaMirroR 🤣
@MrBrownstick2 ай бұрын
🤣@@akshatjain9005
@InTexas2 ай бұрын
Wow she’s left handed like me :)
@ravi038912 күн бұрын
One of the best explanations ever seen in internet.. Thank you so much for taking your time
@ep4now2 ай бұрын
9:35 AI: the recommended number of 20-ounce sunscreen bottles is 5,222,429. You're welcome."
@nedkelly36102 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%.
@nathanmack551428 күн бұрын
I think she is my new/first life coach. She very artfully layed out the comparison between the two operations but also technics i might try myself. Thx!! Very well spoken and great delivery. I'm not an A.I. I just have a lot of projects to do. ;)
@collimarco2 ай бұрын
The next step would be agents that build their own "programmatic" way to solve the problem when it is a repetitive task
@david.415Ай бұрын
These IBM videos always explains the concepts clearly.
@dylanruss1135Ай бұрын
You explained this the most difficult way you could’ve good job
@dylanruss1135Ай бұрын
But at the end of the day having 800,00+ subscribers split between god who knows how many people just off of buying views is still impressive in itself, not because you earned it but solely because you managed to buy it.
@HateTheIRSАй бұрын
@@dylanruss1135are you ok
@the.boring.andrew2 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).
@ziruiwang7293Ай бұрын
IBM's project manager has this level of expertise, impressive!
@tatvafnu6604Ай бұрын
*Product* Manager - big difference!
@HAKhan-hn3ew2 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 🤖
@henryjraymondiii961Ай 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.
@balasubr2252Ай бұрын
Maya is explaining this compound system approach very clearly Thanks Maya
I Can't agree more, the explanation was amazing, the didatics was awesome!!! Congrats!!
@jorgesanabria64842 ай бұрын
This mental model of agents and LLMs is brilliant.
@dato0072 ай бұрын
How do u benchmark performance ? Seems like probability of errors can go up too. Ref for such research? Thx u.
@trycryptos12432 ай бұрын
Nice overall picture of how AI agents are evolving.
@scooterjs67672 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.
@GaryyPorterr2 ай бұрын
ur positive energy is contagious and your videos always brighten up my day, thank you!!! 😉
@sridattamalempati2 ай 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.
@markuaunyong9292 ай 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.
@whatdahack712 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.
@sjmediaonline18 күн бұрын
IBM is best at just commentary. No one talks about IBM in the GenAI domain. How could a big company with much resources missed the boat and still unable to catch up?
@reelwurld-studiosАй бұрын
Give this woman an award for WRITING BACKWARDS WITH NO HESITATION!!! 🏆 (unless she’s AI-generated…)
@BoNaha2 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
@VanCliefMedia2 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 👌
@duytdl2 ай бұрын
"What is my purpose?" "You fetch sunscreen bottle" … "oh god"
@hdhdushsvsyshshshsАй бұрын
i got that reference lmao
@bikedawg24 күн бұрын
Extremely educational---this IBM channel is really really good--thank you!!! ❤ 🧡 💛 💚 💙 💜
@IBMTechnology17 күн бұрын
Our pleasure!
@joemcginnis32962 ай бұрын
The community appreciates your time, dedication and passion to share your knowledge on AI topics.
@jeffreyanderson5106Ай бұрын
Good presentation… easy to follow and understand. I intuitively understood as she gave examples that my experience reinforced. Thank you 😊
@IBMTechnologyАй бұрын
Thanks for sharing!
@moderncontemplative2 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
@johnnyBrwn2 ай бұрын
Jesus, I was not expecting this to be this good! Incredible value in such little time!
@PaulMoreira2 ай бұрын
Great explanation of AI Agents! I love working with them and seeing them reason issues.
@NostalgistGuy2 ай бұрын
Such a profound and insightful video on the internet is available.
@GatherVerse2 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.
@ritwiktrivedi2 ай бұрын
Writing in reverse must be difficult. Kudos for clear explanations despite writing this way.
@GeetanjaliPusapati1232 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
@rohithbabun25122 ай бұрын
How do we get to this point being a complete beginner to this AI technology domain ?
@MrNezlee2 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?
@pratikshitsingh4152 ай бұрын
Great explaination for agents! Helpful! Thank you
@mussen18762 ай бұрын
This was a really helpful video for me. These IBM videos have really great content.
@IBMTechnologyАй бұрын
Glad you like them!
@iamnoobmaster6924 күн бұрын
Kudos on pulling in a smart way to request for a vacation
@RazaAli-l3hАй бұрын
Gosh as a small business owner we are going through over worst time of the year…And she is teaching us happiness ! That how it works in KZbin…😅
@aleclippe62132 ай бұрын
How long until AI agents are good enough for IBM consulting to turn a profit?
@IshanParikhBeSelf2 ай бұрын
Crisp. On-point. Well executed. Kudos to you and your team !
@IBMTechnologyАй бұрын
Thanks a ton
@HariPrasad-su5wl4 күн бұрын
Awesome information & superb lecture!!! Spot on!!!
@IBMTechnology4 күн бұрын
Glad you enjoyed it!
@HariPrasad-su5wl3 күн бұрын
@@IBMTechnology of course!!
@sirishkumar-m5z2 ай 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!"
@markrosenberg43692 ай бұрын
Very nice. But how can all this be implemented in a script? How is it done practically?
@GoodWoodWorks-le4cd22 күн бұрын
Now I understand my mental burnout!! Im constantly mentally working my agent mind and looping!!😂
@timetimetime39852 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?
@shahajikadam-b1m2 ай бұрын
Can AI agents (such as customized ChatGPT) internally connect with different tools to gather information?
@sk3ffingtonaiАй бұрын
Excellent presentation, Maya. Thank you for explaining this concept so well. Have fun on your vacation!
@sai_ai-z1c2 ай 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
@luisalbertodelgadotremont3230Ай бұрын
What should I use to build my own AI agent, someone knows the tools?
@Elaba_Ай бұрын
Will they win the fight against Mr. Anderson?
@brendafulmernickel121823 күн бұрын
So sucking up the Sun Tan Lotion? Someone is lacking a innocent bottle of Sun Tan Lotion!?
@jonathanmasfrancx1228Ай бұрын
Stephan, thanks for the presentation. Very nice talk.
@IBMTechnologyАй бұрын
Glad you liked it!
@GenAI.Enthusiat2 ай бұрын
Remarkable clarity, excellent explanation!!
@lorenzosantoro79032 ай бұрын
Is simple reflex agents' logic controlled by LLM as well? Is ChatGPT considered an AI agent chatbot?
@FingersKungfu2 ай бұрын
It’s Agent as in “Agent Smith” (in the Matrix). They are special.
@Nieosoba2 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
@keesvandentempel2 ай бұрын
Heel goed uitgelegd; beste presentatie over Agentic systems tot nu toe. E nu het vervolg. Hoe maak je een agentic system?
@FrankenLabАй 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? 🙂
@AI-Wire2 ай бұрын
1. When will this be available? 2. Are there any UI demos?
@MaxThibodeaux2 ай бұрын
See Wargames starring Matthew Broderick.
@saumitrabiswas40772 ай бұрын
Please tell where can I learn all these Technologies
@AgentZeroFW2 ай бұрын
Just yesterday I launched a prototype of a new agentic framework - Agent Zero.
@NakedSageAstrology2 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-Ai2 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
@DRAI-ow1nqАй бұрын
the squeaky sound of her marker is quite disturbing! Great video btw.
@drS1lv3r2 ай бұрын
Great topic and very well presented! Thank you!
@jeanpierreleroy2992 ай бұрын
Thank you so much for this. This will help me in my project
@Mantelar23 күн бұрын
I learned to write on a blackboard left handed as I lectured. Best way to keep students accountable is to face them. It doesn’t take as long as you think…adults just forgot how much brute force practice you gotta do to learn. Just like when we were kids
@HerdianAdiWinarno2 ай бұрын
Great explanation. 1 question, how to set the control logic?
@volkerkrux73112 ай 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!
@IBMTechnologyАй бұрын
Glad it was helpful!
@anasaberchih94902 ай бұрын
Clear and consise, thank you Maya Murad, appreciate the informations🙏🏼
@shinchima13 күн бұрын
excellent overview, thank you.
@Nikofthehill2 ай бұрын
What kind of a glass white board is used here? Excellent video 👍🏼
@IBMTechnologyАй бұрын
Thank you! Cheers!
@hi67472 ай бұрын
Hi, What program do you use to write down on the board?
@firojpaudel2 ай бұрын
its a glass board (illuminated) then reflected to shoot the video ..
@KKConglomerates22 күн бұрын
Лаба, твои инсайды просто бомба! Жду новых идей.
@feliperodrigues56262 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.
@dreamphoenixАй бұрын
Excellent info! Thank you. 🙏
@IBMTechnologyАй бұрын
Glad you enjoyed it!
@nachoeigu2 ай бұрын
Excellent explanation and overview of the improvements in LLM apps!
@IBMTechnologyАй бұрын
Glad you enjoyed it!
@SuperCatbert2 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.
@8897johnson22 күн бұрын
Yeah, just hand over all your personal information and stop thinking for yourself. "The way of the future and the downfall."
@chanchalkoner692411 күн бұрын
Please explore the domain-wise AI agents and the world's top language models on the AI platform called 'BHARAT Plus AI,' developed by CALNESTOR IntelliTech Solutions.
@GbenBrookshire10 күн бұрын
I don't know why so many people really don't want to believe that some un-nerfed LLMs are capable of reasoning. Geoffrey Hinton thinks they can: kzbin.info/www/bejne/p6PZfJKBqq6YgM0
@cerenabay460823 сағат бұрын
Such an informative video!
@DannyTan-dm5ou2 ай бұрын
If you are prone to burning, I would agree it is a complex problem haha Great video!