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babbage-002 - In-Depth Overview

OpenAI · GPT-3

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Model ID: babbage-002

Get all the details on babbage-002, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as natural_language_generation, Code Generation, fine_tuning, available API code samples, and performance strengths.

Key Metrics

Input Limit

No data tokens

Output Limit

16.4K tokens

Input Cost

$0.40/1M

Output Cost

$0.40/1M

Sample API Code

import openai

client = openai.OpenAI()

response = client.completions.create(
  model="babbage-002",
  prompt="Say this is a test"
)

Required Libraries

openai
openai

Notes

GPT base models can understand and generate natural language or code but are not trained with instruction following. These models are made to be replacements for our original GPT-3 base models and use the legacy Completions API. Most customers should use GPT-3.5 or GPT-4.

Supported Data Types

Input Types

text

Output Types

text

Strengths & Weaknesses

Good at

natural language understanding
natural language generation
code generation

Poor at

instruction following
streaming
function calling
structured outputs
distillation
predicted outputs

Additional Information

Latest Update

Sep 1, 2021

Knowledge Cutoff

Sep 1, 2021