@Anonymous_Abstract Buddy, I'm pinging you here. Give some thumbs up to me. These Buddhists can be easily fooled by Valley scammers who suck VC money.
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Machine Learning Related Field එකක වැඩ කරන්නේ කවුද?
- Thread starter Sexy Somapala
- Start date
මේකනෙ මුත්තෙ AI වල අපිට ප්රයෝජන විදි 2කකට ගන්න පුළුවන්. එකක් දැනට හදන්න පුළුවන් මෝඩම AI මොඩල් එක උනත් අපේ මොළේ ප්රොසෙස් කරනවට වඩා ලොකු data ප්රමාණයක් Access කරන්න දීල ප්රයෝජන ගන්නත් පුළුවන්. එහෙම නැත්තන් අපිට වඩා හොදට හිතන්න පුළුවන් විදිය හදල ප්රයෝජන ගන්නත් පුළුවන්.
in 80's, People called ProLog apps as AI apps. ඒකනෙ කිව්වෙ අප්ඩේට් වෙන්න කියල දැන් ගොඩක් research එහෙම කෙරිල තියෙනව ඒ කාලෙට වඩා. EA වගේ දෙයක් ගත්තොත් ස්වාභාවිකව වෙනවටව් වඩා හොද රිසල්ට් එකක් දැනටමත් ගන්න පුළුවන්.
කොහොමත් AI කියන ෆීල්ඩ් එකේ වෙන්න මොනවද කියල හොයාගෙන ඉන්න මුලින් 80 ගනන් වලට වඩා සෑහෙන දේවල් කෙරිල තියෙනව.
ෆීල්ඩ් එකක කොච්චර කල් ඉදල පරණ උනත් වැඩක් නෑ හරියට තේරුන් අරගෙන නැත්තන්. ආයෙ අප්ඩේට් වෙලාම එන්න. දන්නව කියන එකයි අවබෝධ කරගන්නව කියන එකයිත් ඉතින් දෙකක්.
Facts විදියට Opnions ගේන්න එපා 80 ඉදල ෆීල්ඩ් එකේ ඉන්නව නන්.
You fail to read anything I post. I was giving you history of field and my experience and that doesn't means I am not aware of what's new and what's old.
> ඒකනෙ කිව්වෙ අප්ඩේට් වෙන්න කියල දැන් ගොඩක් research එහෙම කෙරිල තියෙනව ඒ කාලෙට වඩා.
I told you I have been in this field since early 80's.
No need to tell me be updated. I am up with latest innovations on the field.
> ෆීල්ඩ් එකක කොච්චර කල් ඉදල පරණ උනත් වැඩක් නෑ හරියට තේරුන් අරගෙන නැත්තන්. ආයෙ අප්ඩේට් වෙලාම එන්න. දන්නව කියන එකයි අවබෝධ කරගන්නව කියන එකයිත් ඉතින් දෙකක්.
You being a Trump here. The fact is I have more experience than you do and I'm friends with industry leading experts. Your opinions are based on Youtubers and scammers like Elon Musk.
Don't be mad at me. You're a fanboy, no more no less. Please check my threads after 10 years from now.
ඇත්තටම පුදුමයි එච්චර කල් ඉදල ෆීල්ඩ් එකේ ඉදලත් එච්චර ෆීල්ඩ් එකේ යාලුවො ඉදලත් සබ්ජෙක්ට් එක බාගෙට දන්නව කිව්වම. අඩුම ෆීල්ඩ් එකක් ඩිවලොප් වෙන විදිය ගැනවත් අදහසක් නෑ කිව්වම හිතාගන්න බෑ. Facts කියල Opinion වලට හිරවෙන එකනන් ගොඩක් කල් ඉන්න ඉන්න වෙන දෙයක්. Ego එකත් එක්ක වෙන්න ඕනි ඒක නන් වෙන්නෙ.
> සබ්ජෙක්ට් එක බාගෙට දන්නව කිව්වම
You're talking about AI as if you were all-seeing one. You're a Buddhist. I know how religious zealots behave.
I better to spend my time and energy to tell the truth of AI to a donkey than an ultra nationalist Sinhalese
ඔහොම තමා Facts වෙනුවට Opinion යූස් කරන අය අන්තිමට කියන්නෙ. ඔප්පු කරන්න බෑනෙ ඒ නිසා හිර වෙනව.
Another funny thing I've ever heard.
You know what, just try to build a model for a real use case and see how far you can go without understanding underlying implementation.
If you think it's just installing the framework and feeding data to it, all you might get to work will be their provided example scripts.
I think you have a big misunderstanding of those concepts..
Any software that we consider to render some sort of intelligence, we call it AI.
Even simple neural networks, that takes some inputs and produces an output based on patterns it has discovered is considered intelligence. It doesn't have to be a robot that can walk and talk and do stuff. DNNs has the ability to find patterns and produce impulsive reactions. And that is a form of intelligence.
Moving from DNNs, some architectures such as GANs are used to mimic creativity based on patterns learned. Transformer architecture also can mimic creativity cos of its nature of generalization and specialization back and forth. That is a form of intelligence.
AGI is the kind of stuff we seen in movies. As far as I know, there are no AGIs implemented yet. But the field of study exists.
Oh and I remember deep mind recently said open ended RL will eventually lead to AGI.
> You know what, just try to build a model for a real use case and see how far you can go without understanding underlying implementation. If you think it's just installing the framework and feeding data to it, all you might get to work will be their provided example scripts.
You have very narrow mind. I have never said that it's simple as installing framework and feeding data into it. If it's simple as that, the salaries will go down to $10 bucks per year.
There are other PhDs apart from Jeremy Howard recommending the top-down non-math approach,
https://machinelearningmastery.com/...rithms-without-the-background-in-mathematics/
You can use black-box and top down approaches to understand the implementation. Maths is not required for this. You then will be able to select correct algorithms, optimizers, hyper parameters.
This will take at least 5 months.
None of this require Maths. I have trained an AML investigator with this approach and he was able to built custom models that bought down bank's costs.
> Any software that we consider to render some sort of intelligence, we call it AI. Even simple neural networks, that takes some inputs and produces an output based on patterns it has discovered is considered intelligence.
Perhaps you have big misunderstanding regarding what we call intelligence. It's not some sort. Intelligence is Intelligence.
As Mike https://spectrum.ieee.org/stop-calling-everything-ai-machinelearning-pioneer-says puts here,
"They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively"
Imitating != Intelligence.
Algorithms sometimes makes you feel that it has some sort of intelligence, but in reality they need extensive human training.
Also, An intelligence is capable of irrational thought. Most of algorithms you call intelligent has clearly defined sources of input for linear calculation. Human thinking is more associative and can make mental connections for out-of-the-box thinking.
Learn more about adversarial attacks against so called "AI" models and you will be able to find how dumb they are.
Today, We need to use RL to beat Dota-2, but 80s, when you needed to put a quarter into a machine to play vidya on an 8-bit CPU, the machines had pretty good “AI” which was able to eventually beat even the best players. Google worked really hard to do something which was doable in the 1980s.
They basically just reproduced TD-gammon on a stupid video game.
Many people think AI can replace humans. It's not. It's stupid. In late 90's, I remember people thought https://en.wikipedia.org/wiki/Computer-aided_software_engineering would replace programmers.
Idiots at Tesla think that they can replace drivers by violating https://en.wikipedia.org/wiki/Moravec's_paradox.
Today, Auto driving is still stuck at 80's where Mr. Ernst driving around the city with Sun-Workstations in his back seat.
“AI” doesn’t exist. Machine learning is a force multiplier and productivity enhancer for statisticians. If you believe the “automation”=”no more jobs” crap, machine learning should have at least automated away most statistician jobs. Yet, the statistician (aka “data scientist”) jobs are among the best paid and most in-demand jobs out there at present.
"AI" hype is created by Silicon Valley oligarchs (well, technocrats) to hide behind algorithms so they can shift liability to algorithms.
@RandomGuy
My friend, You lack critical thinking and outside of box thinking hence why you don't see the truth. I am sure you are a Buddhist. I was a Buddhist back in then and went to become an atheist right after doing my Philosophy degree.
No, I decided not to spend my energy on a stone. I don't like show offs or proof of social media. You are arrogant person and at least @RandomGuy read what I wrote.
Artificial Intelligence කියන්නෙ මොකද්ද කියන එකම වැරදියට නන් අර්තදක්වන්නෙ. Facts කියල Opinions අරගෙන Facts කියල පෙන්නන්න හදනව නන්. අනික AI ගැන නන් කතා කරන්නෙ ඔයාගෙ හිස්ට්රි එක මට අදාලත් නෑ මගේ හිස්ට්රි එක ඔයාට අදාලත් නෑනෙ. AI සම්බන්ධ Facts ගැනනෙ කතා කරන්න තියෙන්නෙ. අන්තිමට ඔහොම කියල මාරු වෙන එක කොහොමත් කරන වැඩේනෙ ඉතින් opinion Facts කියල පෙන්නන අය. අරූගෙනුත් අන්තිමට ඕනි දේ කියවෙන්නෙ නැති නිසා උගෙනුත් අහල බුද්ධාගමේද කියල
කවුරු කවුරුත් ආගම තමා කොහොමත් අන්තිමට යූස් කරන්නෙ මේ වෙලාවට බෙරිල මාරු වෙන්න. 
මට නන් මේ කන්වසේශන් එක මාර ත්රිල් "I don't want to spend my energy ....." මෙහෙම කියපු එකෙක්ව පත හෑලි දෙක තුනක් ලියවන්න පොළබවන්න AI වල ඉගෙන ගත්ත දෙයක් ( Cobra Effect ) යූස් කරන්න පුළුවන් උනා කියන්නෙ.
Its better if you can talk to your friends at deep mind and get this confusion resolved.
I don't have friends at DeepMind. Well in case you missed it or felt bored, read again here then tell me where I'm wrong.
People wants to hear what they wants. They don't want to see the reality as with Sri Lanka, millions people voted for a murderer
They love fashion, hype but lack the understanding what's really behind hype. Cocaine and Valley is something I know for decades. I could have been billionaire, but I didn't cause I love honestly. I have no agenda to spend my time here to explain you this.
Try again
In nut-shell, we live in 1980-1990's with new clothes.
> You know what, just try to build a model for a real use case and see how far you can go without understanding underlying implementation. If you think it's just installing the framework and feeding data to it, all you might get to work will be their provided example scripts.
You have very narrow mind. I have never said that it's simple as installing framework and feeding data into it. If it's simple as that, the salaries will go down to $10 bucks per year.
There are other PhDs apart from Jeremy Howard recommending the top-down non-math approach,
https://machinelearningmastery.com/...rithms-without-the-background-in-mathematics/
You can use black-box and top down approaches to understand the implementation. Maths is not required for this. You then will be able to select correct algorithms, optimizers, hyper parameters.
This will take at least 5 months.
None of this require Maths. I have trained an AML investigator with this approach and he was able to built custom models that bought down bank's costs.
> Any software that we consider to render some sort of intelligence, we call it AI. Even simple neural networks, that takes some inputs and produces an output based on patterns it has discovered is considered intelligence.
Perhaps you have big misunderstanding regarding what we call intelligence. It's not some sort. Intelligence is Intelligence.
As Mike https://spectrum.ieee.org/stop-calling-everything-ai-machinelearning-pioneer-says puts here,
"They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively"
Imitating != Intelligence.
Algorithms sometimes makes you feel that it has some sort of intelligence, but in reality they need extensive human training.
Also, An intelligence is capable of irrational thought. Most of algorithms you call intelligent has clearly defined sources of input for linear calculation. Human thinking is more associative and can make mental connections for out-of-the-box thinking.
Learn more about adversarial attacks against so called "AI" models and you will be able to find how dumb they are.
Today, We need to use RL to beat Dota-2, but 80s, when you needed to put a quarter into a machine to play vidya on an 8-bit CPU, the machines had pretty good “AI” which was able to eventually beat even the best players. Google worked really hard to do something which was doable in the 1980s.
They basically just reproduced TD-gammon on a stupid video game.
Many people think AI can replace humans. It's not. It's stupid. In late 90's, I remember people thought https://en.wikipedia.org/wiki/Computer-aided_software_engineering would replace programmers.
Idiots at Tesla think that they can replace drivers by violating https://en.wikipedia.org/wiki/Moravec's_paradox.
Today, Auto driving is still stuck at 80's where Mr. Ernst driving around the city with Sun-Workstations in his back seat.
“AI” doesn’t exist. Machine learning is a force multiplier and productivity enhancer for statisticians. If you believe the “automation”=”no more jobs” crap, machine learning should have at least automated away most statistician jobs. Yet, the statistician (aka “data scientist”) jobs are among the best paid and most in-demand jobs out there at present.
"AI" hype is created by Silicon Valley oligarchs (well, technocrats) to hide behind algorithms so they can shift liability to algorithms.
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