Want to play with the technology yourself? Check out our interactive demo → Learn more about the technology → Join Jeff Krum as he dives into the differences between artificial intelligence (AI), machine learning (ML), deep learning (DL), and underlying models and how these technologies have evolved with passage of time. It also explores the latest advances in Generative AI—including large language models, chatbots, and deepfakes—and clears up common misconceptions, simplifies complex concepts, and discusses the impact these technologies are having on various fields. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM →
Informative video 🎉
All bullshit like Ibm technologies
Great Video
YouTube Memes and Beyond shall help us truly
The better the internal info, the more outward we been
I never thought I would dive this deep into AI. I am so proud of myself and all those who are taking this serious. So many people tell me learning all these technologies are a waste of time and I can't understand how some people don't think AI is apart of us for good and has been for awhile now. This video was great
Jeff Crume always breaks it down! Excellent analogy between music and LLMs. They don’t just regurgitate information just as new music is not simply regurgitated notes.
Thank you for sharing in a way that is easy to digest.
Should note that much of the AI advancement correlates with advancements in raw computing power. One might also want to add another bullet under AI for robotics where AI can interact with the physical world.
Great lesson! I love your channel ❤
For simplicity, could you say ‘DL’ == ‘Multi-layered ML’?
Great explanations
Amazing 👏
I really appreciate his level of making this crystal clear with his explanation.
Fantastic video! No need to apologize to the "AI snobs." 😊
Thank you so much!!! Great video.
I wonder how AIs know they are AIs. They know how they learn and understand what they know so as to be able to explain something at very different levels.
Kind regards from a 67 y.o. retired woman from Argentina.
Сколько можно играть в одно и то же? Покажи нам уже че-нибудь новое!!
Great! I think autonoums agents are also one of the hottest topics in the area
How are you doing these videos ? Standing behind glass ?
clear and simple thanks
I've been looking at your videos so far. I was just wondering what is the Definition of Foundation model? Is is similar to Multimodal model?
Thank You for the video
WANT TO SEE AN EXAMPLE OF A NEURON CELL DRAW OUT IN DIGITAL LOGIC SCHEMATIC TO UNDERSTAND HOW A SOCALLED NEURON IS IMPLEMENTED ELECTRONICALLY….
I really love how you explain things. Thanks.
I must confess, I'm sceptic on the term "generative" too and I think that the drawn comparison with music lacks. The according to music notes in the realm of textual content would be letter and while from recombination of letters some really new and innovative meaning could be created, it doesn't have to. Same goes for the reassembling of notes.
Similar seems to apply for the "generativeness" of generative AI these days. In general the generated content revolves around what's been learned from the training data. The "creativity" in the meaning of leaving the main trail and coming up with something new and meaningful rather depends on (extraordinary quality of) the input prompt. That said, I think genAI almost always only reflects and produces repetitions of the average with slight variations and hence is overrated by the hype these days considering its contribution of "generative". Look at what and where it is used, the fun and also the more serious areas.
Yes, it is hard to define an objective measure for "generativeness" (try to avoid term "creativity" for its broader use for, well, also pointless stuff), but if taken the idea to just feed next generations of models only with content created by their predecessors, I am really afraid of effects of degeneration and degradation, where mankind has shown progress over generations – at least 'til now.
This stage of AI, where we still have to negotiate the meaning of "I", hasn't found its place and rank in society yet, and I say this as someone who has chosen AI as course program in computer science studies in the 90s, where we, I must say, already dealt with ML but for the acute lack of computing power not with networks deeper than 3 layers (which technically are only 2, yes).
"Back when I was an undergrad, riding my dinosaur to class" 🤣🤣