Row 7379
Content Data
This page contains data entry 7379 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I am undertaking a project where I am making a ML model that is specific to a niche for my own tasks. I have experience building deep learning models for predictive analytics and predicting target variables at a company, but I am not an expert in building custom ML models like this project requires.
The goal of the model is to become a domain expert of knowledge based on a series of books I train it on (maybe 5-10 books for now). Understanding the book's principles and applying it creatively to solve problems or generate solutions based on the principles learned. It would only need to generate text, but the books also have lots of images in it as well. So I need it to understand the images + the text. However, the AI model only needs to generate text.
What is the best way to train a ML model that is a domain expert in a niche based on data like this?
| Field | Value |
|---|---|
| text | I am undertaking a project where I am making a ML model that is specific to a niche for my own tasks. I have experience building deep learning models for predictive analytics and predicting target variables at a company, but I am not an expert in building custom ML models like this project requires. The goal of the model is to become a domain expert of knowledge based on a series of books I train it on (maybe 5-10 books for now). Understanding the book's principles and applying it creatively to… |
| label | r/deeplearning |
| dataType | post |
| communityName | r/deeplearning |
| datetime | 2024-05-16 |
| username_encoded | Z0FBQUFBQm5LakwzX2RMcWpEdHN2ck1fbk9PUlNCdTRLUUNZZVVPMjhQcU9QdjBDdDJVbm5NTW90ZGFScXR2Z1F4RGVyLUtyVXNyUUVMb3d4OWVOV0VHTjU3OEJfTkpDV2c9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9IMy1kcmVtNkRnbjhXdzktWFVvclJ3Y0NXdTNhUmdJT3ZrZkNCcnUyNlNOWDF1eTlyZGQyTm9qUEc3amR3WUFEM1ktMnoxeWVwY2hvcFlnTUdpQVE1clNsRWI1ZHRVQ3A4UjJ2NlNROW1FWXFIcWpIYkVQZkxRRm9EUDM5RW5YSUVmRldSRDdKZHlsa1N5WGpSc2I0ZVBBdGEtRnZRLWxWN2kyUkFwbzk2blQ3a2dPUnhaTzhGY0h5XzRJOTRNOXdOTl85cW5VLVBUX3Z0MWJidVl5N3o0dz09 |
Raw Record
{
"text": "I am undertaking a project where I am making a ML model that is specific to a niche for my own tasks. I have experience building deep learning models for predictive analytics and predicting target variables at a company, but I am not an expert in building custom ML models like this project requires.\n\nThe goal of the model is to become a domain expert of knowledge based on a series of books I train it on (maybe 5-10 books for now). Understanding the book's principles and applying it creatively to solve problems or generate solutions based on the principles learned. It would only need to generate text, but the books also have lots of images in it as well. So I need it to understand the images + the text. However, the AI model only needs to generate text. \n\nWhat is the best way to train a ML model that is a domain expert in a niche based on data like this?",
"label": "r/deeplearning",
"dataType": "post",
"communityName": "r/deeplearning",
"datetime": "2024-05-16",
"username_encoded": "Z0FBQUFBQm5LakwzX2RMcWpEdHN2ck1fbk9PUlNCdTRLUUNZZVVPMjhQcU9QdjBDdDJVbm5NTW90ZGFScXR2Z1F4RGVyLUtyVXNyUUVMb3d4OWVOV0VHTjU3OEJfTkpDV2c9PQ==",
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}
Entry Information
- Entry ID: 7379
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000