Update README.md

README.md

@@ -1,26 +1,31 @@
 ---
-license: llama3
+license: openrail
 inference:
   parameters:
     num_beams: 3
     num_beam_groups: 3
     num_return_sequences: 1
-    repetition_penalty: 3.0
+    repetition_penalty: 3
     diversity_penalty: 3.01
     no_repeat_ngram_size: 2
     temperature: 0.8
     max_length: 64
 widget:
 - text: >-
-    paraphraser: Learn to build generative AI applications with an expert AWS instructor with the 2-day Developing Generative AI Applications on AWS course.
+    paraphraser: Learn to build generative AI applications with an expert AWS
+    instructor with the 2-day Developing Generative AI Applications on AWS
+    course.
   example_title: AWS course
 - text: >-
-    paraphraser: In healthcare, Generative AI can help generate synthetic medical data to train machine learning models, develop new drug candidates, and design clinical trials.
+    paraphraser: In healthcare, Generative AI can help generate synthetic
+    medical data to train machine learning models, develop new drug candidates,
+    and design clinical trials.
   example_title: Generative AI
 - text: >-
-    paraphraser: By leveraging prior model training through transfer learning, fine-tuning
-    can reduce the amount of expensive computing power and labeled data needed
-    to obtain large models tailored to niche use cases and business needs.
+    paraphraser: By leveraging prior model training through transfer learning,
+    fine-tuning can reduce the amount of expensive computing power and labeled
+    data needed to obtain large models tailored to niche use cases and business
+    needs.
   example_title: Fine Tuning
 extra_gated_fields:
   geo: ip_location