Skip to content

Commit 34ca5dc

Browse files
committed
Fixed TOC/article title casing mismatch, updated model-related language.
1 parent 727f2e1 commit 34ca5dc

File tree

2 files changed

+11
-5
lines changed

2 files changed

+11
-5
lines changed

articles/cognitive-services/openai/concepts/models.md

Lines changed: 10 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -86,7 +86,7 @@ Babbage can perform straightforward tasks like simple classification. It’s als
8686

8787
Ada is usually the fastest model and can perform tasks like parsing text, address correction and certain kinds of classification tasks that don’t require too much nuance. Ada’s performance can often be improved by providing more context.
8888

89-
**Use For** Parsing text, simple classification, address correction, keywords
89+
**Use for**: Parsing text, simple classification, address correction, keywords
9090

9191
## Codex models
9292

@@ -103,16 +103,22 @@ Similar to GPT-3, Davinci is the most capable Codex model and can perform any ta
103103

104104
### Cushman
105105

106-
Cushman is powerful, yet fast. While Davinci is stronger when it comes to analyzing complicated tasks, Cushman is capable for many code generation tasks. Cushman typically runs faster and cheaper than Davinci, as well.
106+
Cushman is powerful, yet fast. While Davinci is stronger when it comes to analyzing complicated tasks, Cushman is a capable model for many code generation tasks. Cushman typically runs faster and cheaper than Davinci, as well.
107107

108108
## Embeddings models
109109

110-
Currently, we offer three families of Embeddings models for different functionalities: text search, text similarity, and code search. Each family includes models across the following spectrum of capabilities:
110+
Currently, we offer three families of Embeddings models for different functionalities:
111+
112+
- [Similarity](#similarity-embedding)
113+
- [Text search](#text-search-embedding)
114+
- [Code search](#code-search-embedding)
115+
116+
Each family includes models across the following spectrum of capability:
111117

112118
- Ada: 1024 dimensions
113119
- Babbage: 2048 dimensions
114120
- Curie: 4096 dimensions
115-
- Davinci: 12,288 dimensions
121+
- Davinci: 12288 dimensions
116122

117123
Davinci is the most capable, but is slower and more expensive than the other models. Ada is the least capable, but is both faster and cheaper.
118124

articles/cognitive-services/openai/toc.yml

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -12,7 +12,7 @@ items:
1212
href: quickstart.md
1313
- name: Concepts
1414
items:
15-
- name: Azure OpenAI Models
15+
- name: Azure OpenAI models
1616
href: ./concepts/models.md
1717
- name: Content filtering
1818
href: ./concepts/content-filter.md

0 commit comments

Comments
 (0)