Artificial Intelligence Stack Exchange Community Digest

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Top new questions this week:

Is the “Chinese room” an explanation of how ChatGPT works?

Sorry if this question makes no sense. I’m a software developer but know very little about AI. Quite a while ago, I read about the Chinese room, and the person inside who has had a lot of training/…

agi philosophy natural-language-understanding chatgpt chinese-room-argument

asked by Guntram Blohm Score of 26 answered by Neil Slater Score of 22

Why is the research on artificial intelligence at this stage all researching on a separate ability?

Why is the research on artificial intelligence at this stage all researching on a separate ability? For example, train the visual ability of the computer alone, train the speech recognition ability …

machine-learning

asked by huang Score of 4 answered by chessprogrammer Score of 13

ChatGPT claims that it doesn't get information from anywhere, so can't say why it gave a blatantly false statement. How is that possible?

I asked ChatGPT a question, and its response included this statement: In “The Ruling Class” film, which was released in 1972, Patrick McGoohan played the role of Bishop Lampton. Unlike …

chatgpt question-answering

asked by Ray Butterworth Score of 2 answered by David Hoelzer Score of 4

How does one deal with images that are too large to fit in the GPU memory for doing ML image analysis?

How does one deal with images that are too large to fit in the GPU memory for doing ML image analysis? I am interested in detecting small structures on images which are themselves many GB in size. …

data-preprocessing image-processing image-segmentation data-science gpu

asked by Luca Score of 1

Are there versions of attention that do not require a key-value pair, but just act on one input?

Are there versions of attention that do not require a key-value pair, but just act on one input? Or does this idea simply not make sense?

machine-learning transformer attention

asked by postnubilaphoebus Score of 1 answered by chessprogrammer Score of 2

What is the appropriate threshold for accuracy in logistic regression?

Let there is a dataset whose labels are {0,1}, and we need to train a neural network model for the logistic regression problem. I need to calculate the accuracy. To …

neural-networks machine-learning

asked by M a m a D Score of 1 answered by chessprogrammer Score of 3

Many To One LSTM – Can I Use the Same Sequence as Input from Previous Timesteps?

I’m new to LSTMs, and I’m trying to do a basic timeseries prediction using stock prices. However, I’m a bit confused as to how the LSTM is supposed to remember outputs from previous timesteps when it …

neural-networks recurrent-neural-networks long-short-term-memory time-series sequence-modeling

asked by Krusty the Clown Score of 1 answered by Robin van Hoorn Score of 0

Greatest hits from previous weeks:

How can we process the data from both the true distribution and the generator?

I’m struggling to understand the GAN loss function as provided in Understanding Generative Adversarial Networks (a blog post written by Daniel Seita). In the standard cross-entropy loss, we have an …

neural-networks deep-learning objective-functions generative-adversarial-networks generative-model

asked by tryingtolearn Score of 20 answered by Douglas Daseeco Score of 7

What is a Dynamic Computational Graph?

Frameworks like PyTorch and TensorFlow through TensorFlow Fold support Dynamic Computational Graphs and are receiving attention from data scientists. However, there seems to be a lack of resource to …

neural-networks

asked by Blaszard Score of 25 answered by Douglas Daseeco Score of 10

Which tasks are called as downstream tasks?

The following paragraph is from page no 331 of the textbook Natural Language Processing by Jacob Eisenstein. It mentions about certain type of tasks called as downstream tasks. But, it provide no …

natural-language-processing terminology

asked by hanugm Score of 6 answered by nbro Score of 11

What is the difference between simple reflex and model-based agents?

What is the difference between simple reflex and model-based agents? What is the role of the internal state in the case of model-based agents?

comparison intelligent-agent simple-reflex-agents

asked by Pierre P. Score of 5 answered by quintumnia Score of 4

What is the difference between strong-AI and weak-AI?

I’ve heard the terms strong-AI and weak-AI used. Are these well defined terms or subjective ones? How are they generally defined?

terminology definitions agi comparison narrow-ai

asked by WilliamKF Score of 44 answered by jrmyp Score of 37

Are neural networks prone to catastrophic forgetting?

Imagine you show a neural network a picture of a lion 100 times and label it with “dangerous”, so it learns that lions are dangerous. Now imagine that previously you have shown it millions …

neural-networks machine-learning incremental-learning catastrophic-forgetting

asked by zooby Score of 60 answered by nbro Score of 68

Why is Lisp such a good language for AI?

I’ve heard before from computer scientists and from researchers in the area of AI that that Lisp is a good language for research and development in artificial intelligence. Does this still apply, …

neural-networks machine-learning deep-learning research programming-languages

asked by Alecto Irene Perez Score of 37 answered by Basile Starynkevitch Score of 34