>>> Since LLMs and in general deep models are poorly understood ...
>> This is demonstrably wrong.
> That doesn't mean we _understand_ them ...
The previous reply discussed the LLM portion of the original sentence fragment, whereas this post addresses the "deep model" branch.
This article[0] gives a high-level description of "deep learning" as it relates to LLM's. Additionally, this post[1] provides a succinct definition of "DNN's" thusly:
What Is a Deep Neural Network?
A deep neural network is a type of artificial neural
network (ANN) with multiple layers between its input and
output layers. Each layer consists of multiple nodes that
perform computations on input data. Another common name for
a DNN is a deep net.
The “deep” in deep nets refers to the presence of multiple
hidden layers that enable the network to learn complex
representations from input data. These hidden layers enable
DNNs to solve complex ML tasks more “shallow” artificial
networks cannot handle.
Additionally, there are other resources discussing how "deep learning" (a.k.a. "deep models") works here[2], here[3], and here[4].
>> This is demonstrably wrong.
> That doesn't mean we _understand_ them ...
The previous reply discussed the LLM portion of the original sentence fragment, whereas this post addresses the "deep model" branch.
This article[0] gives a high-level description of "deep learning" as it relates to LLM's. Additionally, this post[1] provides a succinct definition of "DNN's" thusly:
Additionally, there are other resources discussing how "deep learning" (a.k.a. "deep models") works here[2], here[3], and here[4].Hopefully the above helps demystify this topic.
0 - https://mljourney.com/is-llm-machine-learning-or-deep-learni...
1 - https://medium.com/@zemim/deep-neural-network-dnn-explained-...
2 - https://learn.microsoft.com/en-us/dotnet/machine-learning/de...
3 - https://www.sciencenewstoday.org/deep-learning-demystified-t...
4 - https://www.ibm.com/think/topics/deep-learning