my first question about ai is

[Ybouali]

That how we can convert ai think like humane been what i mean , Not just train ai on a based data no , more how we can turn them think and create ideas

[Ybouali]

true , but today as we know we can provide the ai with all the experience that the humanities have been past , and if we need ai to provide as with new ideas on this field or that , i don't know but what i see that we need to give the ai the opportunity to think in the future , For Example :
we have a cafe and in that cafe we have a ai that know every thing about how much coffee we sale and he know's what people like in that region so he will tell the owner of cafe what will be next product for the owner to provide to the client ,
HHHHHHHHHHHHHHHHHH
so we will need also the data for the ai to provide adeas

[madhavmadupu]

Yeah that's absolutely correct.
For the example u have chosen we could notedown the customer preferences and purchase history for 1-2 years and walllahh!
We can get the patterns in the user liking's and what he will purchase.

[Ybouali]

yes u can say that , and it will be better to get more info about what prefer the client to test , why i sad that because if we give's the client that opportunity to make his choice so we will know what will be the next product for the client to test and much more .

[madhavmadupu]

Yepp

[imeshhirushan2117]

Creating AI systems that can think more like a human, generate ideas, and exhibit creativity involves several approaches and techniques. While AI doesn't possess consciousness or true understanding, there are methods to make AI systems appear more creative or human-like in their outputs. Here are some key concepts and techniques:

[pvthushan]

clear

[ghost]

You could use NN(Neural Networks) to simulate the brain mechanism of human. Give them the ability to predict trends and patterns and thus enabling them to somewhat predict future.

[ghost]

I don't know whether this exists, but training various models of ai and then collecting and storing data learned by various models in cloud and feeding them to every models would actually help in enabling ai to think more specific and enable it to predict patterns more specific.

[just my random theory, don't know whether it's correct or not]

[Ybouali]

maybe that will work

[ghost]

But this way it would need lot of storage space in cloud, now its not possible financially, maybe in future it can..

[Ybouali]

yes yes that was my first idea when i get do u need to say HHHHHHHHHHHHHHHHHHHHHHHH

[madhavmadupu]

@YuheshPandian I want to learn NN from scratch. My current status is at ML. Could u help me figuring out doing that.

[JHermosillaD]

I'm afraid that AI doesn't think like a human; currently, we don't even know how we think. Most of the online courses you will see on AI focus only on the engineering part, about the mathematics and coding required to make it work, but that is only the practical part. Actually, AI comes from the cognitive sciences, and its study extends to philosophy, where, once again, it is still not a solved problem of how humans think.

An approach like the one you suggest has been called strong AI, and it is a path that many of us believe is impossible. The apparent ideas that AI creates in the eyes of mathematics are only formulas and numbers; there is no creativity there. Currently, the community of mathematicians, engineers, and developers is focusing more on soft AI. In this approach, you solve complex tasks by breaking them down into basic tasks that are simple to attack mathematically so that to the end user, it looks like they are magically thinking like a human being. However, they have just executed some algorithms. You can solve as many complex tasks as you want and emulate human intelligence as much as possible, but in the end, soft AI uses mathematics and algorithms. In contrast, human mental pathways are much more complex and non-mathematical.

If you are still interested in making AI think like us, I invite you to investigate more about strong AI, known as the Holy grail in the community. Here is scientifically rigorous content on the subject:

• Where lies the grail? AI, common sense, and human practical intelligence
• Strong Artificial Intelligence and Consciousness

I hope I have been helpful,
greetings from Mexico!

[ghost]

For @madhavmadupu

See I'm no one in that field just i know what is it, but when i was interested in it i saw some documents regarding it. I'll share what i learnt.

• Familiarize yourself with the basic concepts of neural networks, such as neurons, layers, activation functions, weights, and biases.Learn bout actual biological neuron and its parts.
• Develop a solid understanding of linear algebra and calculus, as they form the foundation of neural network computations.
• Ensure you have a good understanding of Python, as it's commonly used in machine learning. NumPy is a library that is extensively used for numerical operations
• Decide on the architecture of your neural network, including the number of layers, the number of neurons in each layer. Start simple..
• Implement the forward propagation algorithm, where you pass the input through the network to get the output.
• Implement the backpropagation algorithm to compute gradients of the loss with respect to the weights and biases.
• Set up a training loop that iterates through your dataset, performs forward and backward passes, and updates the model parameters. Learn bout testing and validations.
• Familiarize yourself with deep learning frameworks like TensorFlow or PyTorch. While building from scratch is educational, using frameworks can significantly simplify the process in real-world applications.
• Explore research papers and try to implement some of the ideas. This will deepen your understanding and keep you updated on the latest advancements. Researching is very essential to update yourself.

Once you're confident that you know some stuff build projects and expand your domain knowledge.

Try out this vid tutorial...

FreeCodeCampTutorialOnNN

Hope it helped yoou

[madhavmadupu]

Thanks dude. It was helpful actually.

[ghost]

Your Welcome 👍

[Pardeep-Kumar0]

Great information!

[Pardeep-Kumar0]

Is there anyone who tells me how to get GitHub student developers pack

[ghost]

Hi @Pardeep-Kumar0 looks like you are interested in getting the student dev packs for its benefits like free usage of Canva, Azure, domains from Namecheap etc. I'll help you with what i know.

• Pre-Requisite: Ensure you have a valid student ID or an email address from your educational institution that you can use for verification.
• Then create a github account if you don't have one, for your case you do have one
• Github Student Pack follow this link and its instructions, which are very clear and consice. Click on Sign up for Developer pack.
• You will need to verify your student status. This can typically be done by using your school-provided email or by uploading a picture of your student ID.[This step must be done very carefully and accurately]
• After submitting your verification, you'll have to wait for GitHub to review your application[in some cases takes some time].
• Once approved, you'll gain access to various tools, offers, and benefits provided through the GitHub Student Developer Pack.

Hope this helped you. Happy Coding Journey.....

Youtube Vid Tutorial