This is by far the best explanation of what exactly an AI agent is.
@THC93Ай бұрын
You mean the use of colours ?
@RyanJohnsonАй бұрын
@@THC93 makes it more digestable :)
@ajithboralugoda890625 күн бұрын
@@THC93 🤣🤣🤣
@eaglebeakv5Ай бұрын
Give this lady a vacation! this is her way of asking it out loud😂
@samyogdhitalАй бұрын
😆
@LoveYourFamily2Ай бұрын
And this has nothing to do with the weather 😅
@crypto_queАй бұрын
She wrote everything backwards so she definitely deserves a vacation
@brandenvs22 күн бұрын
😂👌
@VRnamek17 күн бұрын
she's probably an AI agent needing a vacation from all the bogus querying by dumb humans
@gilachessАй 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 !!
@BLACKLOTUSukАй 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👍🏾
@thorenscientificАй 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!
@Jerominus7728 күн бұрын
In reality, she's right handed. Great explanation in simple visuals and words.
@bananamaker4877Ай бұрын
I like the last part when you explained when to use agentic or simple rag approach. Thanks.
@dg-ov4cfАй 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-ir4ff4ss8yАй 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.
@lukebudka9980Ай бұрын
we'll build you that if you want!
@shivamdobariya6323 күн бұрын
I am a Data engineer, let me know if we can do something together
@miraculixxs22 күн бұрын
Which technology are you referring to?
@anthonyiocca5683Күн 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…
@isatousarr7044Ай 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.
@HRWUАй бұрын
are we gonna just ignore the fact that she writes text as mirrored image effortlessly ?!?!?!?!?!???!!?!?!!!!!!!😱😱😱😱😱😱😱😱
@dboynetteАй бұрын
stI na laitnesse trap fo eht MBI noitcudni margorp
@akshatjain9005Ай бұрын
After the video is created, it's reversed so that it looks straight
@NakedSageAstrologyАй бұрын
Rorri Maesu says useaMirroR 🤣
@MrBrownstickАй бұрын
🤣@@akshatjain9005
@InTexasАй бұрын
Wow she’s left handed like me :)
@abdulwaqar1707Ай бұрын
I like the way She explained everything including LLM RAG, Compound AI systems.
@nedkelly3610Ай 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%.
@the.boring.andrewАй 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).
@henryjraymondiii96110 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.
@david.4154 күн бұрын
These IBM videos always explains the concepts clearly.
@HAKhan-hn3ewАй 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 🤖
@muhammadhilal580718 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.
@duytdlАй бұрын
"What is my purpose?" "You fetch sunscreen bottle" … "oh god"
@hdhdushsvsyshshshs8 күн бұрын
i got that reference lmao
@user-lq9nz9ww7mАй бұрын
ur positive energy is contagious and your videos always brighten up my day, thank you!!! 😉
@mussen1876Ай бұрын
This was a really helpful video for me. These IBM videos have really great content.
@sridattamalempati23 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.
@trycryptos1243Ай бұрын
Nice overall picture of how AI agents are evolving.
@pratikshitsingh415Ай бұрын
Great explaination for agents! Helpful! Thank you
@markuaunyong92922 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.
@ashishkgp5 күн бұрын
for narrator : Start teaching these concepts along your job, you have a hidden talent : teaching
@BoNahaАй 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
@jorgesanabria6484Ай бұрын
This mental model of agents and LLMs is brilliant.
@drS1lv3rАй бұрын
Great topic and very well presented! Thank you!
@PaulMoreiraАй бұрын
Great explanation of AI Agents! I love working with them and seeing them reason issues.
@FrankenLab7 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? 🙂
@NostalgistGuy16 күн бұрын
Such a profound and insightful video on the internet is available.
@VanCliefMediaАй 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 👌
@IshanParikhBeSelf28 күн бұрын
Crisp. On-point. Well executed. Kudos to you and your team !
@jonathanmasfrancx12286 күн бұрын
Stephan, thanks for the presentation. Very nice talk.
@Elaba_9 күн бұрын
Will they win the fight against Mr. Anderson?
@nachoeiguАй бұрын
Excellent explanation and overview of the improvements in LLM apps!
@GeetanjaliPusapati123Ай 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
@scooterjs6767Ай 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.
@dostupnostpredevsim5 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.
@collimarcoАй бұрын
The next step would be agents that build their own "programmatic" way to solve the problem when it is a repetitive task
@dato007Ай бұрын
How do u benchmark performance ? Seems like probability of errors can go up too. Ref for such research? Thx u.
@NikofthehillАй бұрын
What kind of a glass white board is used here? Excellent video 👍🏼
@GenAI.Enthusiat20 күн бұрын
Remarkable clarity, excellent explanation!!
@SuperCatbertАй 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.
@moderncontemplativeАй 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
@whatdahack71Ай бұрын
I asked these questions to myself two-three days ago and, by surprise, I was able to answer them by myself as well.
@anasaberchih9490Ай бұрын
Clear and consise, thank you Maya Murad, appreciate the informations🙏🏼
@jeanpierreleroy29921 күн бұрын
Thank you so much for this. This will help me in my project
@AILogics12 күн бұрын
Thatś the future. Thanks for nice video explanation..
@RobertJamesFischer-ov7bvАй 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. ^^
@digitalhero74886 күн бұрын
A+ Presentation. Thanks!
@NieosobaАй 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
@ritwiktrivediАй бұрын
Writing in reverse must be difficult. Kudos for clear explanations despite writing this way.
@prasad_ytАй бұрын
Well organised and putting things in a proper perspective
@hedonicasАй бұрын
Coumpound. Do you guys really write backwards? 😃
@Lalee10Ай бұрын
It is a mirrored video
@3DVector24 күн бұрын
Thank you! Best explanation so far!
@sai_ai-z1c20 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
@MrNezleeАй 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?
@tianzelou15 күн бұрын
Thank you! very nice video,I love this❤❤❤
@richsadowsky8580Ай бұрын
Very clearly explained and informative.
@FingersKungfuАй бұрын
It’s Agent as in “Agent Smith” (in the Matrix). They are special.
@sirishkumar-m5z26 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!"
@selfalchemyАй бұрын
Very clear explanation. Thank you!
@juhyunkim76Ай бұрын
Thank you for an excellent lecture.
@aleclippe6213Ай бұрын
How long until AI agents are good enough for IBM consulting to turn a profit?
@GatherVerseАй 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.
@feliperodrigues5626Ай 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.
@timetimetime3985Ай 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?
@lorenzosantoro790329 күн бұрын
Is simple reflex agents' logic controlled by LLM as well? Is ChatGPT considered an AI agent chatbot?
@sacquerАй бұрын
Excellent explanation by Maya! 👏🙌
@artukikemtyАй бұрын
Amazing explanation, thanks for sharing!
@AgentZeroFWАй бұрын
Just yesterday I launched a prototype of a new agentic framework - Agent Zero.
@keesvandentempelАй бұрын
Heel goed uitgelegd; beste presentatie over Agentic systems tot nu toe. E nu het vervolg. Hoe maak je een agentic system?
@seangreatАй бұрын
Sounds not exactly on easier to adapt part
@shahajikadam-b1mАй бұрын
Can AI agents (such as customized ChatGPT) internally connect with different tools to gather information?
@felopatermaher9608Ай бұрын
Great clarify Thank you Maya.
@ozee051Ай бұрын
Thanks for the amazing explaination.
@JoPadamadanАй 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
@AI-WireАй бұрын
1. When will this be available? 2. Are there any UI demos?
@MaxThibodeauxАй бұрын
See Wargames starring Matthew Broderick.
@user-jg3fw5pi4jАй бұрын
Great explanation. 1 question, how to set the control logic?
@NakedSageAstrologyАй 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-AiАй 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
@tobbymarchal3140Ай бұрын
She is brighter so it hard to see the text
@marcusshamase205014 күн бұрын
Good explaination.
@markfla27 күн бұрын
How does she write backwards from her perspective so well?
@MelonHusk7Ай бұрын
This was actually very useful.
@markrosenberg436921 күн бұрын
Very nice. But how can all this be implemented in a script? How is it done practically?
@TheFocusedCoder29 күн бұрын
Great overview, this is iconic
@abdellatifBELMADYАй бұрын
Great explanation, thank you!
@ltgwgeorge2155Ай бұрын
Beautiful stuff, Thank you so much🎉
@gt70digitalАй бұрын
awesome and unique presentation!
@imatthewryan4076Ай бұрын
give her a vacation already, IBM
@AxelZein26 күн бұрын
very well explained. bravo!
@MarcTayАй бұрын
How she writing from the back of the screen with such neat hand writing
@rohithbabun2512Ай бұрын
How do we get to this point being a complete beginner to this AI technology domain ?
@supersmart671Ай бұрын
Compound is spelt as Coumpound...that is quite interesting...
@Dr.LW.Ай бұрын
How are video effects done?
@trimbakmahajan359825 күн бұрын
Great explanation!
@hi6747Ай бұрын
Hi, What program do you use to write down on the board?
@firojpaudelАй бұрын
its a glass board (illuminated) then reflected to shoot the video ..
@souvikroy5Ай бұрын
Brilliant Explanation!
@ghaith258011 сағат бұрын
how is she able to write on the board in reverse at that speed ?
@ananyamishra1506Ай бұрын
can anyone explain me how will llm create search query
@malficientsand21 күн бұрын
Note, explained all this while writing in reverse.