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Machine Learning vs. Deep Learning vs. Foundation Models 

IBM Technology
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The recent interest in AI as meant a lot of people have been encountering new vocabulary. Martin Keen is to help you sort it out. This video runs through key terms like machine learning, deep learning, foundation models, and large language models and how they're related to each other.

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14 авг 2024

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Комментарии : 32   
@drluvkashyap
@drluvkashyap 2 месяца назад
One of "THE" best explanations of all types of AI models
@fxcheux1681
@fxcheux1681 11 месяцев назад
I love this guy's energy, very informative
@prasadraavi390
@prasadraavi390 8 месяцев назад
Beautifully explained. Thank you.
@flashatak4791
@flashatak4791 29 дней назад
the summary of the summary of the possible summary of AI. Nail it.
@toenytv7946
@toenytv7946 11 месяцев назад
Learnt a new term claro. Like that and this. Great explanation!
@bobanmilisavljevic7857
@bobanmilisavljevic7857 11 месяцев назад
Great way to start the day 💪🤖
@ClementinePostma
@ClementinePostma 29 дней назад
is there a way to get a certification at the end of the full course ?
@Ugk871
@Ugk871 7 месяцев назад
Thank you for bringing this video
@rodrigoherrera7392
@rodrigoherrera7392 5 месяцев назад
Your videos are amazing, thanks
@pankaj16octdogra
@pankaj16octdogra 7 месяцев назад
Superb explanation
@hermenegildowilliam7938
@hermenegildowilliam7938 4 месяца назад
Very informative
@andrewjohnson6792
@andrewjohnson6792 11 месяцев назад
How valuable is data, authentication for the training of these tools, refined thoughts, at rapid speed. Would a new supply chain movement towards generating a new standardize benchmark system, be useful? Potential sufficient to correct the potential errors, of miscommunication via scholarly debate. Perhaps chaos, but perhaps the cure. 😅 all in the amount of effort
@xaviermagnus8310
@xaviermagnus8310 11 месяцев назад
Chaos. Pretty much every field breaks down to assumptions somewhere. A lot of words but no explicit gain in this. Any piece of data almost worthless. The mass has the value. You're assuming not only that there is a definite right/wrong... but that we know it well enough to be sure.
@KumR
@KumR 9 месяцев назад
where does hugging face and cohere fall?
@eprabhat
@eprabhat 2 месяца назад
Hugging Face & Cohere can be seen as community platforms to support AI universe
@user-il9vr9oe7b
@user-il9vr9oe7b 3 месяца назад
Multiple regenerated training data how is this used to reinforce data trends of the final output. I call the issue training Emphasis.
@JoeGariano
@JoeGariano 4 месяца назад
Excellent!
@FabrizioBianchi
@FabrizioBianchi 11 месяцев назад
What is there under AI, other than Machine Learning?
@revathik9225
@revathik9225 7 месяцев назад
Where does NLP fit in?
@michaeloguidan3038
@michaeloguidan3038 11 месяцев назад
Hello, what about data science
@rrbbb-qv9kv
@rrbbb-qv9kv 10 месяцев назад
How do you write so well backwards on the glass?
@IBMTechnology
@IBMTechnology 10 месяцев назад
See ibm.biz/write-backwards
@AChang007
@AChang007 10 месяцев назад
Not sure I agree that RL belongs under ML
@user-bh1pc1ck2w
@user-bh1pc1ck2w 3 месяца назад
Awesome
@arrowhead261
@arrowhead261 8 месяцев назад
Where is NLP located?
@wtpollard
@wtpollard 2 месяца назад
NLP is a topic under AI. Nowadays, NLP is pursued using deep-learning models, but that's a relatively new development. Google Translate, for example, has been around since ~2006, but it only started using neural networks (deep learning) in 2016.
@sk3ffingtonai
@sk3ffingtonai 11 месяцев назад
eXcellent. Thank you.
@MilesBellas
@MilesBellas 10 месяцев назад
Enormity isn't size, it's more like being horrorified.
@timwiliusa6564
@timwiliusa6564 2 месяца назад
He looks like detective gordon from gotham
@Cmpct3
@Cmpct3 11 месяцев назад
There's a huge circle that encapsulates all the boxes and it's called tooling. Not sarcastic.
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