openai course

1 ActiveLoop Courses/2 Train & Fine-Tune LLMs for Production/1 Intro to LLMS/1 What are Large Language Models/1_simple.py

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+
+import os
+import openai
+
+# English text to translate
+english_text = "Hello, how are you?"
+
+response = openai.ChatCompletion.create(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": f'Translate the following English text to French: "{english_text}"'}
+  ],
+)
+
+print(response['choices'][0]['message']['content'])

1 ActiveLoop Courses/2 Train & Fine-Tune LLMs for Production/1 Intro to LLMS/1 What are Large Language Models/2_few_shot.py

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+
+import os
+import openai
+
+# Prompt for summarization
+prompt = """
+Describe the following movie using emojis.
+
+{movie}: """
+
+examples = [
+	{ "input": "Titanic", "output": "🛳️🌊❤️🧊🎶🔥🚢💔👫💑" },
+	{ "input": "The Matrix", "output": "🕶️💊💥👾🔮🌃👨🏻‍💻🔁🔓💪" }
+]
+
+movie = "Toy Story"
+response = openai.ChatCompletion.create(
+  model="gpt-3.5-turbo",
+  messages=[
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": prompt.format(movie=examples[0]["input"])},
+        {"role": "assistant", "content": examples[0]["output"]},
+        {"role": "user", "content": prompt.format(movie=examples[1]["input"])},
+        {"role": "assistant", "content": examples[1]["output"]},
+        {"role": "user", "content": prompt.format(movie=movie)},
+  ]
+)
+
+print(response['choices'][0]['message']['content'])