Update README.md

README.md

@@ -8,8 +8,8 @@ tags:
 - pytorch
 - causal-lm
 - Writer-data
-- GPT
-- NeMO
+- gpt
+- NeMo
 pipeline_tag: text-generation
 library_name: transformers
 ---
@@ -72,6 +72,12 @@ Palmyra's core functionality is to take a string of text and predict the next to
 
 Palmyra was trained on Writer custom data. As with all language models, it is difficult to predict how Palmyra will respond to specific prompts, and offensive content may appear unexpectedly. We recommend that the outputs be curated or filtered by humans before they are released, both to censor undesirable content and to improve the quality of the results.
 
+### Use case
+Palmyra-based is extremely powerful while also being extremely fast. While Palmyra-large is better at analyzing complex text, Palmyra-base is capable of many nuanced tasks such as sentiment classification and summarization. Curie is also effective as a general service chatbot, answering questions and performing Q&A.
+
+Competent in: complex classification, text sentiment, and summarization
+
+
 ## Evaluation results
 
 Evaluation of Palmyra-base model on the SuperGLUE benchmark
@@ -94,13 +100,14 @@ Evaluation of Palmyra-base model on the SuperGLUE benchmark
 
 
 To cite this model:
-```bibtex
+```
 @misc{Palmyra,
-  author = {Kiran and Komatsuzaki, Aran},
-  title = {{GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model}},
-  howpublished = {\url{https://github.com/kingoflolz/mesh-transformer-jax}},
-  year = 2021,
-  month = May
+  author = {Writer AI team},
+  title = {{Palmyra-base Parameter Autoregressive Language Model}},
+  howpublished = {\url{https://dev.writer.com}},
+  year = 2023,
+  month = January 
 }
 ```
 
+