Remove deprecated models

Author: alexrudall

README.md

@@ -29,7 +29,6 @@ Stream text with GPT-4, transcribe and translate audio with Whisper, or create i
       - [Ollama](#ollama)
     - [Counting Tokens](#counting-tokens)
     - [Models](#models)
-      - [Examples](#examples)
     - [Chat](#chat)
       - [Streaming Chat](#streaming-chat)
       - [Vision](#vision)
@@ -258,24 +257,9 @@ There are different models that can be used to generate text. For a full list an
 
 ```ruby
 client.models.list
-client.models.retrieve(id: "text-ada-001")
+client.models.retrieve(id: "gpt-3.5-turbo")
 ```
 
-#### Examples
-
-- [GPT-4 (limited beta)](https://platform.openai.com/docs/models/gpt-4)
-  - gpt-4 (uses current version)
-  - gpt-4-0314
-  - gpt-4-32k
-- [GPT-3.5](https://platform.openai.com/docs/models/gpt-3-5)
-  - gpt-3.5-turbo
-  - gpt-3.5-turbo-0301
-  - text-davinci-003
-- [GPT-3](https://platform.openai.com/docs/models/gpt-3)
-  - text-ada-001
-  - text-babbage-001
-  - text-curie-001
-
 ### Chat
 
 GPT is a model that can be used to generate text in a conversational style. You can use it to [generate a response](https://platform.openai.com/docs/api-reference/chat/create) to a sequence of [messages](https://platform.openai.com/docs/guides/chat/introduction):
@@ -398,7 +382,7 @@ end
 response =
   client.chat(
     parameters: {
-      model: "gpt-3.5-turbo-0613",
+      model: "gpt-3.5-turbo",
       messages: [
         {
           "role": "user",
@@ -462,7 +446,7 @@ Hit the OpenAI API for a completion using other GPT-3 models:
 ```ruby
 response = client.completions(
     parameters: {
-        model: "text-davinci-001",
+        model: "gpt-3.5-turbo",
         prompt: "Once upon a time",
         max_tokens: 5
     })
@@ -608,7 +592,7 @@ You can then use this file ID to create a fine tuning job:
 response = client.finetunes.create(
     parameters: {
     training_file: file_id,
-    model: "gpt-3.5-turbo-0613"
+    model: "gpt-3.5-turbo"
 })
 fine_tune_id = response["id"]
 ```
@@ -1014,7 +998,7 @@ HTTP errors can be caught like this:
 
 ```
   begin
-    OpenAI::Client.new.models.retrieve(id: "text-ada-001")
+    OpenAI::Client.new.models.retrieve(id: "gpt-3.5-turbo")
   rescue Faraday::Error => e
     raise "Got a Faraday error: #{e}"
   end