Code The Future
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Want to play with the technology yourself? Check out our interactive demo → Learn more about the technology → In this video, Maya Murad explores the evolution of AI agents and their key role in revolutionizing AI systems. From monolithic models to blended AI systems, discover how AI agents integrate with databases and external tools to improve problem-solving capabilities and adaptability. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM →
Note, explained all this while writing in reverse.
Amazing! This girl clearly does not understand the concept of vacation.
AI agents can analyze large datasets to find deep customer senses, allowing marketers to tailor their strategies more effectively.
Thank you so much for this. This will help me in my project
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.
Agents are important.
PowerPoint is also very important to be able to organize an effective presentation and avoid wasting time during the presentation writing unreadable text that nobody can read!
I don't understand 5his!
"how to spend energy to answer questions you already know the answer to" 😅
I don't get the purpose of this system. Sun screen has absolutely no connection to my vacation day allotment. Also to stay safe just use factor 50 sunscreen irrespective of the time you want to spend in the sun. The number of sun hours is not a determining factor, just uv radiation is, and that's typically high even in overcast weather, so there's really no need to look at the weather report. This must be the worst explanation of agents ever.
Maybe use animations and diagrams?
Welcome to the era of agentic-systems(if our grid doesn't collapse) so GLHF
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.
I learned something new today, specifically that I was misspelling "Coumpound"
Bravo 👏
Thank you! Best explanation so far!
Great explanation!
we are currently at Q3 of 2024 and still no agentic AI
very well explained. bravo!
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!"
Need to write everything down? it is hard to read and listen at the same time, because the color is too dark.
quit showing-off your writing backwards and just stick to explaining that needs no writing on board.
If you are prone to burning, I would agree it is a complex problem haha
Great video!
Ai I.S. Information System of Ni.
might as well try to describe AI on the walls of a cave
Смотрим твои видосы с дружбанами) всегда кекаем шо не в себя)))
How does she write backwards from her perspective so well?