openai codex visual studio code的进一步展开说明

Table of Contents

1. Introduction
2. Overview of Codex models and Azure OpenAI Service
3. How to Use Codex Models
3.1 Example 1: Turn comments into code
3.2 Example 2: Complete your next line or function in context
3.3 Example 3: Bring knowledge to you
3.4 Example 4: Add comments
3.5 Example 5: Rewrite code for efficiency
4. Best Practices for Using Codex Models
4.1 Specify the programming language
4.2 Prompt Codex with what you want it to do
4.3 Specify libraries to help Codex understand
4.4 Provide examples for more precise results
4.5 Lower temperatures give more precise results
4.6 Organize tasks into functions
4.7 Creating example data
4.8 Compound functions and small applications
4.9 Limit completion size for more precise results or lower latency
4.10 Use streaming to reduce latency
4.11 Use Codex to explain code
4.12 Writing unit tests
4.13 Checking code for errors
4.14 Using source data to write database functions
4.15 Converting between languages
4.16 Rewriting code for a library or framework
5. Conclusion

Introduction

This article provides an overview of Codex models and their integration with the Azure OpenAI Service. Codex models are descendants of the GPT⑶ series, trained on both natural language and billions of lines of code. They are highly proficient in Python and capable in several other programming languages, such as C#, JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, SQL, and Shell.

Overview of Codex models and Azure OpenAI Service

Codex models are specifically designed to assist programmers in various coding tasks. They can be used to turn comments into code, complete lines or functions in context, provide knowledge about useful libraries or API calls, add comments, and even rewrite code for efficiency.

The Azure OpenAI Service provides a playground where you can test the Codex models. It offers a variety of deployment options, such as code-davinci-002, which can be used to test several examples discussed in this article.

How to Use Codex Models

To use Codex models effectively, you can follow these examples, which can be tested in Azure OpenAI Studio’s playground:

Example 1: Turn comments into code

“`
“”” Ask the user for their name and say “Hello” “””
“`

Example 2: Complete your next line or function in context

“`
“”” 1. Create a list of first names
2. Create a list of last names
3. Combine them randomly into a list of 100 full names “””
“`

Example 3: Bring knowledge to you

“`
“”” Table customers, columns = [CustomerId, FirstName, LastName, Company, Address, City, State, Country, PostalCode, Phone, Fax, Email, SupportRepId]
Create a MySQL query for all customers in Texas named Jane “””
“`

Example 4: Add comments

“`
// Function 1
var fullNames = [];
for (var i = 0; i < 50; i++) { fullNames.push(names[Math.floor(Math.random() * names.length)] + " " + lastNames[Math.floor(Math.random() * lastNames.length)]); } // What does Function 1 do? ``` Example 5: Rewrite code for efficiency ``` // Rewrite this as a React component var input = document.createElement('input'); input.setAttribute('type', 'text'); document.body.appendChild(input); var button = document.createElement('button'); button.innerHTML = 'Say Hello'; document.body.appendChild(button); button.onclick = function() { var name = input.value; var hello = document.createElement('div'); hello.innerHTML = 'Hello ' + name; document.body.appendChild(hello); }; // React version: ``` Best Practices for Using Codex Models When using Codex models, it is recommended to follow these best practices: 1. Specify the programming language: Codex understands multiple programming languages. Specify the language and version in a comment to receive more accurate completions. 2. Prompt Codex with what you want it to do: Clearly state the task you want Codex to perform, such as creating a function or querying a database. 3. Specify libraries to help Codex understand: Mention the libraries, APIs, or modules you want Codex to use for suggestions and completions. 4. Provide examples for more precise results: If you have a specific style or format requirement, provide examples or demonstrate it in the prompt to guide Codex. 5. Lower temperatures give more precise results: Setting the API temperature to 0 or close to zero (e.g., 0.1 or 0.2) provides more accurate results in most cases. (cont.)

openai codex visual studio code的常见问答Q&A