Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

What is GPT-3 (Chat GPT AI)? and how to get started using it in your projects.

Tiempo de lectura: 2 minutos

Reading time: 2 minutes

What is GPT-3?

GPT-3 (Generative Pre-trained Transformer 3) is an artificial intelligence developed by OpenAI that focuses on natural language processing. It is a large-scale neural network that has been trained on a massive amount of data to learn how to generate text based on a given context.

GPT-3 has demonstrated the ability to perform various natural language tasks such as translation, text generation, text comprehension, and more. Additionally, it can also perform tasks beyond the scope of natural language, such as generating music and creating images.

How to use GPT-3

To start using GPT-3, you need to access the OpenAI API. The API requires an account and an authentication key, which you can obtain from the OpenAI website (https://platform.openai.com/docs/api-reference).

Once you have access to the API, you can use your preferred programming language to interact with it and make use of GPT-3.

Here’s an example of how you can use the GPT-3 API in Python:

  1. Install the openai library for Python, which provides an interface for interacting with the OpenAI API.
Plain text
Copy to clipboard
Open code in new window
EnlighterJS 3 Syntax Highlighter
pip install openai
pip install openai
pip install openai

Import the openai library in your Python script.

Plain text
Copy to clipboard
Open code in new window
EnlighterJS 3 Syntax Highlighter
import openai
import openai
import openai

Configure the OpenAI API using your authentication key (https://platform.openai.com/account/api-keys).

Plain text
Copy to clipboard
Open code in new window
EnlighterJS 3 Syntax Highlighter
openai.api_key = "YOUR_AUTHENTICATION_KEY"
openai.api_key = "YOUR_AUTHENTICATION_KEY"
openai.api_key = "YOUR_AUTHENTICATION_KEY"

Use the openai.Completion.create() function to generate text based on a given context.

Plain text
Copy to clipboard
Open code in new window
EnlighterJS 3 Syntax Highlighter
prompt = "Hello, how are you?"
response = openai.Completion.create(engine="text-davinci-002", prompt=prompt, max_tokens=50, n=1, stop=None, temperature=0.5)
print(response.choices[0].text)
prompt = "Hello, how are you?" response = openai.Completion.create(engine="text-davinci-002", prompt=prompt, max_tokens=50, n=1, stop=None, temperature=0.5) print(response.choices[0].text)
prompt = "Hello, how are you?" 
response = openai.Completion.create(engine="text-davinci-002", prompt=prompt, max_tokens=50, n=1, stop=None, temperature=0.5) 
print(response.choices[0].text)

In this example, the text-davinci-002 model is used, which is one of the most advanced models of GPT-3.

The function generates a response based on the context provided in the prompt and returns a text string with a maximum length of 50 tokens.

The response variable contains the response generated by GPT-3, and the print() function is used to display it in the console.

Note: You can modify the parameters of the openai.Completion.create() function to customize the response generated by GPT-3.

Keep in mind that the tokens used are deducted from the free account and have a cost when exceeding the threshold: https://openai.com/pricing

Conclusion

GPT-3 is a fascinating technology with great potential to transform the way we interact with natural language. If you’re interested in using GPT-3, you can access its API and start experimenting with it using your preferred programming language.

0

Leave a Comment