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ChatGPT API

Powerful NLP and chat API

Description

Use cases

  • Chatbot Development: ChatGPT API can be used to develop chatbots, they can interact with users in natural language. This can be useful for businesses that want to automate customer support or provide 24/7 assistance.
  • Content Creation: ChatGPT API can be used to generate content such as articles, summaries, and product descriptions. This can be useful for businesses that want to create content quickly and efficiently.
  • Language Translation: ChatGPT API can be used to translate text from one language to another. This can be useful for businesses that operate in multiple countries and need to communicate with customers in different languages
  • Sentiment Analysis: ChatGPT API can be used to analyze the sentiment/mood of the text. This can be useful for businesses monitoring customer feedback or social media mentions - and understanding what their customers think
  • Personalization Of Content: ChatGPT API can be used to personalize content for individual users. This can be useful for businesses that want to provide a more personalized experience for their customers

Features

  • State-of-the-art Language Models: ChatGPT API uses state-of-the-art language models trained on large datasets to provide accurate and natural language processing.
  • Customizable Responses: ChatGPT API allows you to customize responses based on your needs and requirements.
  • Scalable Infrastructure: ChatGPT API is built on a scalable infrastructure that can handle large volumes of requests.
  • Easy Integration: ChatGPT API is easy to integrate with your existing systems and workflows, it is a simple REST API
  • Competitive Pricing: ChatGPT API offers competitive pricing compared to other natural language processing services in the market today
  • Fast responses - the API is designed to respond fast despite it's size and complexity
  • Affordable - the pricing tag is lower than most competitors these days
  • Optimized for chat - ChatGPT is specifically designed for conversational tasks, whereas GPT-3/GPT-J are more general-purpose models that can be used for a wide range of language-related tasks
  • ChatGPT API can be biased and may produce inappropriate responses, and may not always provide accurate responses
  • ChatGPT API might not provide full and accurate answers
  • Might not understand context, sarcasm, or implicit messages
  • Faced downtimes before, might be unstable for short periods of time
Code examples
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")

completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "what is the motive behind cloudaiworld.com?"}
]
)

print(completion.choices[0].message.content)
Details
  • Expertise required
    Non-tech, Developer
  • Cloud
    Available on Microsoft Azure, SaaS
  • Supported protocols
    RESTful
  • Latest update
    April 2, 2023
Video
Pricing - all you need to know
  • $
  • Pricing Model: Freemium
  • $0.002 / 1K tokens
  • Pricing page URL https://openai.com/pricing
Pricing
  • Pricing Model
    Freemium
  • Pricing Summary
    $0.002 / 1K tokens
  • Pricing page URL
    https://openai.com/pricing
Pricing Details
gpt-3.5-turbo $0.002 / 1K tokens
gpt-4-chat unknown

A token is around 4 characters long - you can experiment with words and tokens here

For example, "I love you, don't you love me?" has 10 tokens, and 7 words

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