Questions tagged [ai-design]
For questions related to the design of AI agents, algorithms, or models. If your question is about designing neural networks, reward functions, or fitness functions, you can use the associated more specific tags "neural-network-design", "reward-design" and "fitness-design", respectively.
291 questions
0 votes
1 answer
86 views
Could the zero-point lattice field be a pathway to discovering conscious Intelligence? [closed]
We know that empty space in quantum physics is never truly empty. Even at absolute zero, there remains a restless hum of activity, what we call the zero-point energy. Now imagine that space itself is ...
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6 votes
7 answers
3k views
Why do we expect AI to reason instantly when humans require years of lived experience?
Humans are not born knowing how to reason. We develop it gradually through our individual subjective experiences, social interaction, and contextual learning over many years. AI systems, however, are ...
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2 votes
2 answers
195 views
Are we missing a critical aspect of the foundational architecture of AGI?
A lot has been expended in our collective efforts to birthing AGI, and possibly ASI. Energy, time, resources, and while it feels like we are nearing breakthrough, we always encounter a setback. This ...
- 123
0 votes
1 answer
80 views
Would this type of hidden layer be good?
I'm looking into creating AIs which take more than 1 input. I just came up with a idea on how my structure of my neural network and I want objective answers on why this may be good/bad. Suppose we ...
- 159
2 votes
0 answers
95 views
How can make an AI that deals with unseen logic operations without coding it?
Below there is a code which teaches a very simple AI how to compare 2 bits(if they are different or not). ...
- 159
0 votes
3 answers
326 views
How to learn AI from the beginning?
Consider a student graduating high-school and about to begin 4 years of college; with no pre-existing knowledge of AI, but a goal to master AI. How can one begin learning some AI basics now, in ...
0 votes
0 answers
47 views
Episodic Memory in humans and in LLMS
I have following research ideas: Keywords: Episodic Memory, Episodic Memory in Humans, Episodic Memory in Animals, Episodic Memory in Large Language Models Definition Q. What is meant by Episodic ...
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0 votes
0 answers
48 views
How can AI be leveraged to improve fraud detection in real-time financial transactions?
I'm exploring how AI can help financial institutions enhance their fraud detection systems, particularly in real-time transactions. What are the best approaches, tools, or models for building more ...
0 votes
0 answers
390 views
Connect Open WebUI with Langflow using Open WebUI Function Pipe
I am trying to connect Langflow to Open WebUI so that I can use Langflow workflows inside Open WebUI as a model. This makes handling all the AI easy because its all based on Open WebUI. Below is the ...
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0 votes
0 answers
53 views
new project using AI - select product based on long description
looking for an advice. I'm thinking of a project to create a tool that select a product based on a description. I have a data set with two columns, Column 1 long description and column 2 product ...
1 vote
1 answer
568 views
How does DeepSeek-R1 perform its "reasoning" part exactly?
I wrote up my understanding for how LLMs generate text responses to text prompts (at a somewhat practical yet high level), focusing on example numerical vectors and how they are transformed at each ...
- 127
0 votes
0 answers
78 views
What creative jobs are there in the field of AI?
I have been looking for jobs for a while now, and am interested in pursuing a career in AI. I would however like to find a job that involves creative applications of AI. Having done a Google search I ...
-1 votes
1 answer
62 views
UAT for gen AI use cases
Wanted to understand how UAT is done for gen AI use cases? Do you use a type of scoring sheet to rate the solution on aspects such as consistency, accuracy etc? Are any other artifacts used? If yes, ...
0 votes
0 answers
78 views
When should you use a transformer and when LSTM, GRU and other Neural Networks?
There is a lot of information on the Internet that the transformer is better than RNN in everything, but is it true? Examples: «What if I need to translate words?» «Generate text, images?» «Play a ...
- 352
0 votes
1 answer
62 views
Representing scalars as vectors for the network output
In the MuZero Paper in the Appendix F they explain that they represent values and rewards as vectors. This means that the neural networks don't output the scalars directly, instead, they output a ...
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