Row 5262
Content Data
This page contains data entry 5262 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
There are a lot of people building with LLMs at the moment, but not so many are transiting from prototypes and POCs into production. This is especially in the enterprise setting, but I believe this is similar for product companies and even some startups focused on LLM-based applications. In fact some surveys and research places the proportion as low as 5%.
People who are working in this area, what are some of the most common and difficult challenges you face in trying to put things into production and how are you tackling them at the moment?
| Field | Value |
|---|---|
| text | There are a lot of people building with LLMs at the moment, but not so many are transiting from prototypes and POCs into production. This is especially in the enterprise setting, but I believe this is similar for product companies and even some startups focused on LLM-based applications. In fact some surveys and research places the proportion as low as 5%. People who are working in this area, what are some of the most common and difficult challenges you face in trying to put things into produc… |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-04-28 |
| username_encoded | Z0FBQUFBQm5LakwyOHh0OS1YdElPajBrbmdhbkgtR2lOSUk1SkJ5QmxZY0RMeUFhUG5lOWdXcXY5Und3dGY4MjVkQVhuVFg5Yy12ZnRpVkxwM3dScDZfZnd5ZXhuTjJNNXc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9GMjY3SkprWGhzbzJBYS1hVzUtd0ZYeFlzRlFpRnlwaEhncmVjZzM3aV9NeDZWVEU4d3R4MDNvRTgxUmgwbkNqYy11UVJ4Y3VDRFRCZEgzZ2VxdlpOREJPaUotV3ZaMDFuRW5Pc0Z0YmNYWWhKeFZfc2VLXy1zUmRzdEFnZGI4ckpjd1ZiQ0prQnZaclVsV0I2Z3JwdkJzTS14ckVfdE01QlRNX1B2VThGLUl1Zm1pTkstQWVoY2VfWmdxZlg5ZGgwRjd1aThMQjVBOEVPTGYyUEFwWjJ3UT09 |
Raw Record
{
"text": "There are a lot of people building with LLMs at the moment, but not so many are transiting from prototypes and POCs into production. This is especially in the enterprise setting, but I believe this is similar for product companies and even some startups focused on LLM-based applications. In fact some surveys and research places the proportion as low as 5%. \n\nPeople who are working in this area, what are some of the most common and difficult challenges you face in trying to put things into production and how are you tackling them at the moment? \n\n",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-04-28",
"username_encoded": "Z0FBQUFBQm5LakwyOHh0OS1YdElPajBrbmdhbkgtR2lOSUk1SkJ5QmxZY0RMeUFhUG5lOWdXcXY5Und3dGY4MjVkQVhuVFg5Yy12ZnRpVkxwM3dScDZfZnd5ZXhuTjJNNXc9PQ==",
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}
Entry Information
- Entry ID: 5262
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000