00:06 Deep learning enables building specialized models with enough labeled data. 01:04 Fine tuning and adapting base foundation models speeds up AI model development 01:58 Filtering data for language, content, and duplicates. 02:40 The process of training an AI model involves two stages: data versioning and tagging, and model selection. 03:29 Choose a foundational model based on use case and match data pile 04:25 Model Card can be created to showcase the trained model and its benchmark scores. 05:19 Deployment of the model has options for cloud service or edge application 06:20 Watsonx.data is a modern data lakehouse that establishes connections with data repositories and Watsonx.governance manages data and model cards
What an awesome video! Great insights delivered in a simple layman friendly way. Martin's style and tone makes this otherwise very high tech topic actually graspable at a very basic level for people like me who do not come from a tech background. Very commendable. Truly laudable. Please keep up the good work. Cheers to IBM, Martin Keen & team.
There are a couple of ways of doing light board presentations. One is to reverse the video display after creating another is to use a mirror while video-ing.
Hello teacher, I am a viewer from China and I think your video content is very good. Also, I would like to know how you achieved this video effect? Really interested.
Hi there, I am a Technical Graphic Designer (FA) working in a Pre-press environment. I work in Adobe Creative suite and Prenergy, surrently. I am interested in this course. But need assurance on how I can combine skills from AI or ML to automate repetitive tasks and standardise output quality from pre-flighting, proofing all the way to image processing stage. What do you advise / recommend?
He would need to mirror individual letters too. That seems really really difficult to do with any quickness. More likely he wrote left-to-right for him and the video was then mirrored horizontally in the edit so we can read it.
Evening. Love your screen and layout. Was this done and then flipped in the video? Did you use a screen and ultra violet light glas board or do you have na app with smart pen? Really curious.
Hi there! Great explanation, thank you, but it is not clear what exactly contains the “fine tune” step. What the difference between “fine tune” and “prepare data”+”train” steps? essential just in amount of data or the “fine tune” process designed differently?
It sounds like the fine tune step is what optimizes the bridge between the trained model and all it's potential outputs. I've used models that appear to have been trained on all the right data but are a major pain when it comes to prompting and producing accurate outputs. I'm no expert but I believe that's what it entails
Could anyone explain clearer the stage 4 which is about tuning model with additional local data, what does it mean ? Currently, I find that LLM can read vector database to get knowledge and answer the questions, is this the stage 4 ?
It basically means training it again, but for a specific use. Models that are fine tuned can be specialized in, for ex, coding, but maybe arent great at generating images or speech of essays, etc.
New AI Models and Robotics- Today's founders are faced with scale and labour issues simultaneously, requiring more demands on artifical intelligence and robotics. With robotic AI models, similar to 3d printing, the business development of tomorrow will be easily supported by IBMs product lines. Robotic foundation models to move pallets, for welding, and to cap bottles already exist, propelling the future of AI to a contemporary bar with home brews and reciepes for a larger scale. Larger scale creates larger profits, more creative projects, and yes more data. - IBM and Kawasaki Robotics preparation of data ( cough...you have to pay to read the rest).😢
But it was supposed to be easily trained to use machine data ...not text ....the machine data contains user information and actions so ....why they ignore it ...i don't want application i want better performing machine based on my actions real and responsive
You lost me at “hate speech”, as such a thing does not actually exist, and any intelligent person worth learning from would have already worked that logic out.
This guy is a great teacher, thank you IBM, here's your feedback!
00:06 Deep learning enables building specialized models with enough labeled data.
01:04 Fine tuning and adapting base foundation models speeds up AI model development
01:58 Filtering data for language, content, and duplicates.
02:40 The process of training an AI model involves two stages: data versioning and tagging, and model selection.
03:29 Choose a foundational model based on use case and match data pile
04:25 Model Card can be created to showcase the trained model and its benchmark scores.
05:19 Deployment of the model has options for cloud service or edge application
06:20 Watsonx.data is a modern data lakehouse that establishes connections with data repositories and Watsonx.governance manages data and model cards
Are we not gonna talk about how he writes backwards?
no
Lol
Video is likely horizontally flipped
Where is he wring that? In air?
It is horizonally flipped. But definitely looks good. Others, wearing wedding rings have them on the “wrong hand” in these videos.
This is an awesome description. More please!
What an awesome video! Great insights delivered in a simple layman friendly way. Martin's style and tone makes this otherwise very high tech topic actually graspable at a very basic level for people like me who do not come from a tech background. Very commendable. Truly laudable. Please keep up the good work. Cheers to IBM, Martin Keen & team.
Really a very good Teacher, explains in simple lucid model - fantastic
Amazing video! very clear and easy to follow thru!
Martin you are saving lives🤣. Thank you Sir🙏🏼👍🏼
Good teacher...clearly covered in a short time...
What year were you born?
What is the name of the presenter? Engaging, Clever, Concise. Awesome work.
Great info and how you made this video is amazing editing!
Cool presentation. Wonder how you write backwards on the screen. Mind to share with the viewers what application you are using?
I was honestly looking for this comment
There are a couple of ways of doing light board presentations. One is to reverse the video display after creating another is to use a mirror while video-ing.
He's just genius
lol, had to rewind 3 times because it sounded like “Jupiter data” when saying “duplicate data”
Wow, great explanation with simple breakdown.
simply amazing content as well as amazing teacher
Better than my coding teacher
can someone who has never learned coding make an AI tool in 3 weeks?
@@maryabouissa after spending 8-weeks and hundreds$ I made to Amazon for a RTX 4060. Probably another 2 weeks to get eGPU/laptop running
Really good! Thanks!
Love your brewing videos. These are pretty good as well. ;)
Another useful video ! Thank you IBM !
Thank you
Really wonderful! Thank you
Hello #IBM how are you. I hope you have a great day and thank you for shared.
Can u pls mention how to make an AI model
where do you get the data from
Спасибо за видео, достаточно доступно излагаете.
Great video, thanks!
Hello teacher, I am a viewer from China and I think your video content is very good. Also, I would like to know how you achieved this video effect? Really interested.
It's a light board and there are a couple of ways of using it.
The little white dot down left angers me so much
Thank you!
Are u referring to large models like LLM or smaller models for a specific purpose or both?
Hi there, I am a Technical Graphic Designer (FA) working in a Pre-press environment. I work in Adobe Creative suite and Prenergy, surrently. I am interested in this course. But need assurance on how I can combine skills from AI or ML to automate repetitive tasks and standardise output quality from pre-flighting, proofing all the way to image processing stage. What do you advise / recommend?
We can help you in this, at Maitri AI
sorry to ask but a burning question are you writing on that board backwards like this ledom so we can see it like model ?
He would need to mirror individual letters too. That seems really really difficult to do with any quickness. More likely he wrote left-to-right for him and the video was then mirrored horizontally in the edit so we can read it.
Love your brew channel 👍
great to knew
Evening. Love your screen and layout. Was this done and then flipped in the video? Did you use a screen and ultra violet light glas board or do you have na app with smart pen? Really curious.
You are right! He's using his left hand, which suggests that the video was flipped for the viewers.
Are steps 1-3 here taken care of through the foundational model?
Hi there! Great explanation, thank you, but it is not clear what exactly contains the “fine tune” step. What the difference between “fine tune” and “prepare data”+”train” steps? essential just in amount of data or the “fine tune” process designed differently?
It sounds like the fine tune step is what optimizes the bridge between the trained model and all it's potential outputs. I've used models that appear to have been trained on all the right data but are a major pain when it comes to prompting and producing accurate outputs. I'm no expert but I believe that's what it entails
@@Mike343fulto improve outputs you should train it to learn human behaviour better rather than just feeding it with more explanation and data
The brew meister !
What, no beer?!
Does red hat and open shift will perform all the 5 stages without any human intervention
Great video thank u ❤🖤🦾🍏
hi. please help me. how to create custom model from many pdfs in Persian language? tank you.
Could anyone explain clearer the stage 4 which is about tuning model with additional local data, what does it mean ?
Currently, I find that LLM can read vector database to get knowledge and answer the questions, is this the stage 4 ?
It basically means training it again, but for a specific use. Models that are fine tuned can be specialized in, for ex, coding, but maybe arent great at generating images or speech of essays, etc.
How much time each phase take?
Am I the only one wondering how they film this? I mean how come the words are not going opposite? The words should be mirrored right?
A.I
Permission to embed this video on our website 😅
wow
IBM pleas have a better thumbnail.
Pls teach us all ML ALGORITHMS with Mathematics
how to edit an video like this
AI
damn, there is a white pixel, bottom left
How do you make presentations like this, i mean how do you write on screen?
New AI Models and Robotics-
Today's founders are faced with scale and labour issues simultaneously, requiring more demands on artifical intelligence and robotics. With robotic AI models, similar to 3d printing, the business development of tomorrow will be easily supported by IBMs product lines. Robotic foundation models to move pallets, for welding, and to cap bottles already exist, propelling the future of AI to a contemporary bar with home brews and reciepes for a larger scale. Larger scale creates larger profits, more creative projects, and yes more data.
- IBM and Kawasaki Robotics preparation of data ( cough...you have to pay to read the rest).😢
Anyone looking for work developing an ai model for our app using python
Great teacher, demistifying AI.
But it was supposed to be easily trained to use machine data ...not text ....the machine data contains user information and actions so ....why they ignore it ...i don't want application i want better performing machine based on my actions real and responsive
@@JamilaJibril-e8h I think the data is tokenized. It can be text, machine data?, or pixel values.
Awesome -- he's writing in mirror
there are no actual steps here, there is no download link. another nothingburger. no training AI or anything
this video is completely useless.
🤔. เอา แล้ว
In my experience, hate speech is a code word for censorship.
People who write backwards like this creep me out..
Filter hate speech? Define hate speech, please.
You lost me at “hate speech”, as such a thing does not actually exist, and any intelligent person worth learning from would have already worked that logic out.