Getting Started With OpenAI Platform

Welcome! In this guide, you’ll learn how to navigate the OpenAI Platform—exploring the Playground, Dashboard, and Documentation—to streamline your AI development workflow.

Playground

The Playground offers an interactive environment to test models and fine-tune parameters before integrating them into your code.

1. Interacting with Models

Switch to the Chat tab for conversational prompts. For example:

what is 20 times 10 plus 5 minus 3 times 10

Click Run and watch the model break down the calculation step by step, returning the answer.

2. Tuning Parameters

Adjust these settings to influence output quality and creativity:

• Temperature: Controls randomness (0.0–1.0)
• Max Tokens: Limits response length
• Top K / Top P: Filters token selection based on probability

3. Additional Features

• Model Switching: Try GPT-3.5, GPT-4, or custom fine-tuned models
• Speech to Text: Real-time audio transcription
• Text to Speech: Generate audio responses
• Assistant Builder: Design your own conversational agent
• Completion Settings: Preconfigure defaults for repeated experiments

Dashboard

The Dashboard centralizes your account and usage management.

Access your metrics, configure billing alerts, and optimize resource allocation all from one place.

Documentation

Comprehensive docs cover every aspect of the API and its components. Visit OpenAI API Documentation for full details.

Models Overview

Browse the Models section to compare capabilities and select the best fit:

Selecting a model—such as GPT-4—reveals its parameters, use cases, and any available variants.

Changelog

Track updates, deprecations, and new features in the Changelog. Staying informed ensures your integrations remain stable.

Capabilities

JavaScript Example

import OpenAI from "openai";

const openai = new OpenAI();

const completion = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "Write a haiku about recursion in programming." }
  ]
});

console.log(completion.choices[0].message.content);

Python Example

from openai import OpenAI

client = OpenAI()

completion = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Write a haiku about recursion in programming."}
    ]
)

print(completion.choices[0].message.content)

Guides and Advanced Topics

Explore specialized tutorials to maximize the API’s potential:

• Function Calling
• Model Evaluation & Benchmarks
• Fine-tuning & Distillation
• Batch Processing Workflows
• Official Libraries & SDKs
• Prompt Engineering Best Practices
• Rate Limits, Error Codes, and Retirements

Example: Create image variations with DALL·E in Python:

response = client.images.create_variation(
    model="dall-e-2",
    image=open("corgi_and_cat_paw.png", "rb"),
    n=1,
    size="1024x1024"
)
print(response.data[0].url)

Deprecations

Regularly review the Deprecations section to avoid using sunset features and to plan migrations.

Links and References

• OpenAI API Documentation
• OpenAI Playground
• OpenAI GitHub