Row 85195
Content Data
This page contains data entry 85195 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Imagine you had access to a Claude 3 Opus / GPT-4o tier LLM with a 1M tokens context window (I do realize Gemini claims the same context window, but model is simply not as good). This LLM would also have state of the art performance in needle in a haystack, and variable tracing, so you can be confident that it'd not lose / forget / hallucinate information in your input.
Would this unlock any new use cases for you? What would you use it for?
Is 1M a game changer, or would it take 10M to change your workflow?
| Field | Value |
|---|---|
| text | Imagine you had access to a Claude 3 Opus / GPT-4o tier LLM with a 1M tokens context window (I do realize Gemini claims the same context window, but model is simply not as good). This LLM would also have state of the art performance in needle in a haystack, and variable tracing, so you can be confident that it'd not lose / forget / hallucinate information in your input. Would this unlock any new use cases for you? What would you use it for? Is 1M a game changer, or would it take 10M to change … |
| label | r/chatgpt |
| dataType | post |
| communityName | r/ChatGPT |
| datetime | 2024-05-24 |
| username_encoded | Z0FBQUFBQm5Lak1vcHhIOHo3MTgyQjFmcFJkbHRjNF8zcHp5V21RaHJPNDBWRFE1QVVBcXlFVi1oLVJGRTdOYnpFUlRhTDRHa3FIZVVYMk5GV182ei1yckRzeU5uMkd6SUE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak81RXNRVXdKd2xWLUlJSXkxYWlzWlZFN3JTbWhvY3dZa205WjFCVndvRzR4elhqbFRWLXJYOXJSYUhnbkhfcURhQURZeVltTy1oVUNNd0dZUzZkQ0ZoZkxpUFNPOTVNbURhdnRuRGstT3oyaDRTR3h0bkozY0pTM0RScDNfcDdqY3lPeDV5ZFVadVZaUGs2dWpBY0FVcHJRSmhSN3Z3VFZBTVJkSmVtY1VUNHNnTktiSW5qNXBEQnI1SF95RDVvQ0hFMWt4T0toaWFVUFVzNHJMVTRzNHE2UT09 |
Raw Record
{
"text": "Imagine you had access to a Claude 3 Opus / GPT-4o tier LLM with a 1M tokens context window (I do realize Gemini claims the same context window, but model is simply not as good). This LLM would also have state of the art performance in needle in a haystack, and variable tracing, so you can be confident that it'd not lose / forget / hallucinate information in your input.\n\nWould this unlock any new use cases for you? What would you use it for?\n\nIs 1M a game changer, or would it take 10M to change your workflow?",
"label": "r/chatgpt",
"dataType": "post",
"communityName": "r/ChatGPT",
"datetime": "2024-05-24",
"username_encoded": "Z0FBQUFBQm5Lak1vcHhIOHo3MTgyQjFmcFJkbHRjNF8zcHp5V21RaHJPNDBWRFE1QVVBcXlFVi1oLVJGRTdOYnpFUlRhTDRHa3FIZVVYMk5GV182ei1yckRzeU5uMkd6SUE9PQ==",
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}
Entry Information
- Entry ID: 85195
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000