Most active questions
10 questions from the last 7 days
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Model or LLM that is fast enough to describe an image in detail
The heading might be little weird, but let's get on the point.
I made an chat-bot like application where user can upload video and cant chat/ask anything about the video content, just like we talk to ...
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MATLAB implementation of Manifold-PBO algorithm producing different Monte Carlo simulation convergence results than paper
I'm trying to replicate the results from a paper that uses the Manifold-PBO algorithm in a Monte Carlo simulation, but my implementation is producing significantly different convergence curves ...
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How to train a neural network with a non-differentiable linear program in the loss?
I am currently trying to train a neural network to predict certain input parameters for a linear program based on an input dataset of system measurements related to these parameters. The workflow is ...
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How to use my neo4j KG in Dify?
I am trying to build a RAG with Dify, and as it is expected to handle hopping questions.
As a POC, I try to use Illama to parse my documents and build a knowledge graph (KG) in my local neo4j ...
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Why is DecisionTree using same feature and same condition twice
When trying to fit scikit-learn DecisionTreeClassifier on my data, I am observing some weird behavior.
x[54] (a boolan feature) ...
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Python GraphRag retrieval: Is using the embedded user's question when querying the data from graph good or bad?
I'm following a tutorial about using GraphRAG Python library to answer user's questions about actors who acted in the movies that match some specific description. The approach is to embed the user's ...
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why aren't my Training and validation losses do not reduce when fine-tuning ViTPose from huggingface
I am trying to fine-tune a transformer/encoder based pose estimation model available here at: https://huggingface.co/docs/transformers/en/model_doc/vitpose
When passing "labels" attribute to ...
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Synthetic to real image conversion for Pose Estimation
i have synthetic images of poses and that data is being used for trainig a pose estimatioon model, what i want is that i want to convert it to real images, meanig that the people appear real in it, i ...
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Machine Learning model best design setup
I'm looking for the best design based on the following requirements. I'd appreciate an explanation of a possible high level route I can follow.
I need to deploy an Image classifier that takes in an ...
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Forward chaining proves D but backward chaining does not – is my solution correct?
I came across this logic exercise, and I would like to confirm if my solutions are valid.
Here is the setup:
Fact base: {A}
Rule base:
R1: A → B
R2: B → C
R3: E → D
Goal:
Add one rule such that D can ...