Комментарии:
What about Tensorflow as a Pytorch alternative?
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ОтветитьInsightfull ❤
ОтветитьThank you
ОтветитьLol software engineering is already oversaturated. Just a matter of time until AI engineering is saturated since everyone and their mom wants to go into AI
ОтветитьI recommend taking Andrew s course on coursesera. Also linear algebra and calculus as well as statistics and probability is very important. Otherwise you will get stuck at some point. Really understand the algorithms makes you independent of frameworks and you can use many tools. Understanding your data is half the battle.
ОтветитьThis video made me get out of the chair, grab my notebook and permanently follow all the Udemy classes that I have left half-finished. Very powerful video
ОтветитьSegment Anything: The end of Where's Wally/Waldo, beckons.
ОтветитьGreat video, I have been using / teaching Python for a long time now and I have worked on levee safety using ML and AI and it's great to see a video that mentions all the hype (because there is a lot!) and simply encourages people to start learning about AI.. reminds me again to have a look at some new courses.. thx for this video!
Ответитьhe should just record his lectures and provide notes .... course done
Ответитьارجو ترجمة ھذه المقابلة لدإلى اللغة العربية
ОтветитьLove the episode as it gives me enough details where someone can start on the hot skill AI. If Mike releases courses, I will definitely go through them
ОтветитьDef please make a course!!!
ОтветитьJust learn how to sell things.
ОтветитьIs Tensorflow still worth learning?
ОтветитьWe are all large language models and yes attribution is important but who should get credit for all of the text that has been fed to us from the first time that we learnt to read or were read to as we were being trained in our internal data sets. Why aren't teachers and instructors entitled to a royalty from the students that they have trained? Or is learning going to be declared as it should be out of the balance of highly privatised intellectual property
ОтветитьThere could be a serious AI winter if the global supply chain is fucked again. But there’s no chance of that happening, right….
ОтветитьChatgpt is already getting better and the idea of not seeing a major development in the next decade seems wild to me. These systems will be able to search an ever increasing search space, which imo openai surely will evaluate. Life is not much more than combinatorics which can now be searched a lot faster.
Ответитьin the thumbnail pic u look like that guy from silicon valley hbo lol
ОтветитьResearchers are incentivized to under sell the AGI possiblity, because it would increase regulation, like with the drug industry.
They were wrong about how soon we would get to this point, and they are probably wrong about AGI being outside of our life time.
I'm not exactly for or against AGI, but I'm really sick of being lied to by the researchers who say that AGI development is so far off, given how wrong they have been getting to this point.
Step 1: Know any human language. Step 2: Talk to the AI
ОтветитьThank you, really great video. Simple and clear.
ОтветитьThank you. It's a pleasure to watch you.
ОтветитьAired just before Duolingo cut off many translation contractors jobs. People already seem to be losing their jobs. For translation, ChatGPT is super between English/Arabic. Almost no mistakes even for local brands and event names. Handles it well. But I believe there will be a wave of layoffs followed by some regrets when they realize some jobs still need humans to do it.
ОтветитьYea Mike needs to create his own course
ОтветитьTo learn "AI" first you need to be really comfortable with math. Things will come up to you automatically.
ОтветитьHow in the f does bomb making instructions make its way into a training set?
ОтветитьYes course please Mike
ОтветитьVote For Mr.Mike To create AI Online Course
ОтветитьMike is a great communicator.. great video, thanks.
ОтветитьCAVEAT EMPTOR: All knowledge is good, not all knowledge leads to anything secure when it comes to employment. Just solving a problem or filling a need, absolutely do this. But!, just because you learn machine learning skills or AI skills, pass some courses does not automatically qualify for any career at all in ML or AI. I found out the hard way. I did exactly as suggested in this video years ago back in 2017-2019. Did the courses, got the certs, got pretty good at it, loved it, wanted a career doing this. What did I not see coming? In order to be taken seriously at all in ML (at the time) one had to have a career already with evidence of being a programmer first. I did not. I absolutely did not see this coming. I just jumped in, assumed I would win out all would be good. I learnt python, did ML, computer vision, even segmentation as above, I had a Github repository, I could produce evidence, but I had zero established working career as a programmer to be taken seriously or demand the kinds of salary's on offer. Sure, times are different post COVID in a tight labour market, but having a actual track record first as an employed programmer will most certainly help.
ОтветитьThe ai will most likely become better and better at understanding your prompts as well. Just like any other source you train it on. So I have some trouble to see why you need to learn the underlying mechanics
ОтветитьSnake oil
ОтветитьDavid, we need a special session to discuss how AI works with network engineers ?
ОтветитьInformative conversation - Thank you, gentlemen. 👍
Ответитьyes we wants mark to create that ! :D
ОтветитьI'm so new to this that I don't understand most of what this guy is saying here or why he's saying it
ОтветитьI'm very interested
ОтветитьI'm very interested
ОтветитьAwesome video, AI growth doesn’t disappoint
ОтветитьValuable advice.. thanks
ОтветитьThank you David, great episode! What is your opinion on Data Analyst as a career? Is it a good way to enter the field?
ОтветитьWhat if I WANT my tech support to be political!? :P
ОтветитьExcellent video. Discussion that focuses on practical and well grounded viewpoints.
ОтветитьPlease Mike , you have been sharing your knowledge with us , now it's time to learn AI from you
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