Questions tagged [model]
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8 questions
2 votes
0 answers
29 views
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 ...
0 votes
1 answer
69 views
How difficult are LLMs in terms of grammar?
I'm currently trying to fine tune the Mistral 7b instruct v0.3 model in order to give him as an input a list of unordered tasks and have as an output the dependencies between those tasks in a format ...
2 votes
0 answers
28 views
Problem in creating custom Deberta model
I'm trying to create a custom model that takes sentence and POS tag as input as well, but the model is predicting the same label over and over for each token. Well, I tried different parameters (e.g., ...
4 votes
3 answers
390 views
Specifying and fitting a custom distribution to data
I have a dataset of measurements $Y$ to which I want to fit a custom distribution, and thereby obtain an estimate of the distribution's parameters. Based on domain knowledge, I know that the process ...
0 votes
0 answers
71 views
create a python AI model that can read PCB layout image
can someone please help me create this project i need to understand how to start it what do i need and the steps. i never created AI model before. ** create AI model that can read PCB layout image (...
0 votes
0 answers
36 views
Comparing Systems Based on Their Variance
I am using simulations to compare two economic models and want to understand their impact on returns (i.e., the percentage change in prices). I have employed common random numbers for these ...
0 votes
1 answer
102 views
What does it mean by 'trainning a model' on structured data?
Apologies if this is a noob question, I have been trying to find a hello-world kind of example regarding how to train a model on structured data without much success. Also, have been reading about ...
2 votes
1 answer
105 views
How to know if my model's result is good enough?
I have a dataset of different people with their insurance cost. I have trained a neural-network to predict the insurance cost (charges column) based on the other features (age,bmi, etc.). Here is how ...