Update README.md
Browse files
README.md
CHANGED
|
@@ -18,9 +18,10 @@ tags:
|
|
| 18 |
</p>
|
| 19 |
|
| 20 |
**Model Name:** lettucedect-large-modernbert-en-v1
|
| 21 |
-
**Organization:** KRLabsOrg
|
| 22 |
**Github:** https://github.com/KRLabsOrg/LettuceDetect
|
| 23 |
|
|
|
|
| 24 |
## Overview
|
| 25 |
|
| 26 |
LettuceDetect is a transformer-based model for hallucination detection on context and answer pairs, designed for Retrieval-Augmented Generation (RAG) applications. This model is built on **ModernBERT**, which has been specifically chosen and trained becasue of its extended context support (up to **8192 tokens**). This long-context capability is critical for tasks where detailed and extensive documents need to be processed to accurately determine if an answer is supported by the provided context.
|
|
|
|
| 18 |
</p>
|
| 19 |
|
| 20 |
**Model Name:** lettucedect-large-modernbert-en-v1
|
| 21 |
+
**Organization:** KRLabsOrg
|
| 22 |
**Github:** https://github.com/KRLabsOrg/LettuceDetect
|
| 23 |
|
| 24 |
+
|
| 25 |
## Overview
|
| 26 |
|
| 27 |
LettuceDetect is a transformer-based model for hallucination detection on context and answer pairs, designed for Retrieval-Augmented Generation (RAG) applications. This model is built on **ModernBERT**, which has been specifically chosen and trained becasue of its extended context support (up to **8192 tokens**). This long-context capability is critical for tasks where detailed and extensive documents need to be processed to accurately determine if an answer is supported by the provided context.
|