Foundation models and the next era of AI

AI advancements are outpacing expectations and presenting novel opportunities and research challenges. In this video, Microsoft Senior Principal Research Manager Ahmed H. Awadallah explores AI’s shift from perception tasks to text, code, image, and video generation and the class of large-scale models underpinning recent progress. He also examines how these models are creating new experiences and enhancing products people use today to support them in achieving more.

0:00 Introduction to foundation models

11:04 From GPT-3 to ChatGPT – a jump in generative capabilities

19:11 Everyday impact: Integrating foundation models and products

Check out the video recap, full transcript, and additional resources:

[julianvanderkraats]

Thank you for taking the time to explain important developments in AI! The emergence of these new abilities is amazing!

[laquanlewis]

That was extremely informative and insightful. I do say it could use more excitement to grasp the audience attention to keep them focused. Overall great entail.

[joelxart]

Thanks so much! This talk might be the best for explaining why ChatGPT performed beyond expectations!

[saikatnextd]

This is a awesome talk and sincerely hope there would be more on other key topics as

[neerajkumarsingh]

well done!, good work, keep posting.

[havryliuk]

This is a great video with a lot of new ideas for those who start diving deeper into LLM. But there is one example at the end of the video about Super Bowl. I think it may be not easily understandable to all the people because it is a specific event in the U.S. about which a lot of people are not aware. It is better to choose a more general example. I hope this helps.

[sgramstrup]

'We have been getting to a level of quality, we have never seen before' was perhaps a bit superfluous unless we are going the wrong way ;)

[hagenfinley]

An u😃nusually concise and thoughtful analysis

[tharindu]

ok but why putting ads almost like an hour

[animelover]

This is alot to sink in, i need my ChatGPT to do a lot of explanation and alot of 5W/1H lol ..
great content overall, thanks :)

[steve.k]

7.50 the answer on Apples could be wrong or right "20 to make lunch" does NOT mean that those Apples are `gone` maybe the meals have not sold yet and thus they are still in the cafeteria, were as a human would presume that the question by its nature means they have been used and should not be counted, that is not explicitly stated nor is it the only interpretation of the words used. Pushing models to get the `right` answer in such cases could reduce abstract thought and non linier thinking, its `arithmetic ability is connected to its other abilities as they are emergent you need to be careful around `correct` as it could restrain wider interpretation, that flexibility in humans is very powerful.

[hectorvillafuerte]

The models are not generating from scratch, they are being trained with videos and pictures and end it up being a realistic interpolation of many samples. The issues is the copyrights of training data. Even if the generated does not resemble a percentage of the original, it is still being used for the training.

[strictnonconformist]

The person that made the video editing choices needs to be fired: Microsoft has the capacity to do better than a small portion of the screen for the stuff we as viewers care about. It makes it impossible to read on anything but a large screen, which is largely wasted.

[accspkm]

I understand a bit because I am a computer student.

[interestingamerican]

1:38 NPR.... I used to listen to them but they lost their way. Anyways, how about some feedback on putting a pause on research so that we can align the AI that is now possessing superhuman intelligence.

[gaussniwre]

55% more productive for developers! 55% more $$$ for developers??

Call me hype driven if you want.
Any organization not exploring the implementation of AI is wasting time and money they can't even imagine yet.

There will be no real "pause".
AutoGPT and other implementations start showing how absurdly effective this soon will be.

[michaelcharlesthearchangel]

LNNs are the future. Large Neural Networks for Architectural Quantum AI.

[ultronhere]

Nobody is watching this .. spend on CSR instead of YouTube bots 😑

[aciamage]

I don't understand he's talking. Je comprends pas quand qui parle.