Questions tagged [inference]
The inference tag has no summary.
32 questions
2
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32
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How to improve fine-tuning for task dependency extraction?
I'm trying to fine-tune a LLaMA 3.1 Instruct model to adapt it to a specific industrial domain. The goal is to have the model extract direct dependencies between tasks from a list of operational steps ...
- 371
1
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0
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39
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Fine-tuning Llama 3 to generate task dependencies (industrial planning)
I'm working on fine-tuning a language model (Meta-Llama-3-8B-Instruct) to generate a dependency graph for industrial tasks. The idea is: given a list of unordered tasks, the model should output a ...
- 371
1
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0
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130
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ML models that train on graphs but infer without any edges (edge prediction task)
I'm exploring a machine learning research direction and I'm looking for ideas or pointers to existing models/projects that fit the following setup:
The model is trained on graphs with edge information ...
- 371
4
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1
answer
131
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Which model is the best suitable for generating edges?
I'm trying to develop a model who'd be able to generate dependencies between industrial tasks. In order to do that, i went for the GNN solution : i have nodes = tasks, dependencies = edges, and have ...
- 371
8
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1
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216
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How to correctly perform link prediction inference on a new, unseen graph?"
I'm working on an industrial AI use case where I train a Graph Neural Network (GCN) for link prediction — specifically, to predict successor tasks in project planning graphs (e.g., for construction or ...
- 371
1
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0
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25
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Different inference times by factor 10 for two models with similar architecture and training data
I am currently trying to replicate or come close to the results achieved in the Multispider paper, which is a multilingual Text-to-SQL benchmark. I have downloaded the model used by the authors of the ...
- 11
2
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1
answer
360
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Detection of musical instruments using Yamnet
My goal is to detect musical instruments with AI (machine learning).
I'm currently using the Yamnet model to make inferences, but it has a very wide range of categories, for example, "Growling&...
- 21
1
vote
1
answer
904
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How to Use Multiple Adapters with a Pretrained Model in Hugging Face Transformers for Inference?
I have a pretrained Llama-2 model in the models_hf directory and two fine-tuned adapters: a summarization adapter in ...
- 133
0
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83
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What is the distinction between clinical significance and statistical significance?
https://en.m.wikipedia.org/wiki/Clinical_significance
The Link says
"Jacobson-Truax is common method of calculating clinical significance. It involves calculating a Reliability Change Index (RCI)....
- 1,020
1
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0
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294
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What is the best way to combine cross-validation and bootstrapping for one application?
We intend to model data with non-parametric covariate splines and we would like to understand the uncertainty of the parameter estimates/response estimates.
Currently, we use cross-validation to model ...
- 111
1
vote
1
answer
173
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How can I deal with a computationally expensive simulator method in Sequential Monte Carlo/Approximate Bayesian Computation?
I am doing Approximate Bayesian Computation with Sequential Monte Carlo with PyMC in a way that is similar to what is described in this example of the ...
- 11
0
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0
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54
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Statistical significance on aggregate data to show that the groups are different?
I am working with performance data for three groups for each region. The denominator for the groups is the number of people who are identified as low performers. For region A, Group-1 low performer %= ...
- 21
0
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1
answer
126
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Best practices for serving user-specific large models in a web application?
First execuse any naive statement you may find below, i'm a newcomer to the field.
How do web applications that integrate fine-tuning of large machine learning/deep learning models handle the storage ...
- 3
1
vote
1
answer
820
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Inference Process in Autoregressive Transformer Architecture
I'm abit confused about how the inference/prediction process works in transformer.
For simplicity suppose it is a transformer for translation. My understanding is that when training, the whole input ...
0
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1
answer
99
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What are the requirements for a word list to be used for Bayesian inference?
Intro
I need an input file of 5 letter English words to train my Bayesian model to infer the stochastic dependency between each position. For instance, is the probability of a letter at the position 5 ...
- 103