OpenAI Codex Description
Codex is proficient in more than a dozen programming language and can now interpret simple commands using natural language and execute them for the user. This makes it possible to create a natural language interface for existing applications. Through our API, we are inviting developers and businesses to build on OpenAI Codex. OpenAI Codex is a descendant from GPT-3. Its training data includes both natural language and billions upon billions of lines (including code in public GitHub repositories). OpenAI Codex excels in Python but is also proficient in more than a dozen languages, including JavaScript and Swift, Perl, PHP and Ruby, as well as TypeScript and Shell. It has a memory of 14KB to store Python code, while GPT-3 has only 4KB. This means it can handle more contextual information than GPT-3 and perform any task with 3x the speed.
OpenAI Codex Alternatives
GitHub Copilot
Your AI pair programmer. GitHub Copilot allows you to get suggestions for entire lines or entire functions from your editor. GitHub Copilot is a program that has been trained on billions upon billions of lines public code. It saves you time and helps you stay focused. GitHub Copilot is now available as a Visual Studio Code Extension. It works on any Visual Studio Code platform, on your computer or in the cloud at GitHub Codespaces. It's easy to use and fast enough that you can type as you type. GitHub Copilot is compatible with a wide range of languages and frameworks. The technical preview works especially well with Python, TypeScript Ruby, Ruby, and Go. However, it can also understand dozens of languages and help you navigate almost any situation. You are always in control with GitHub Copilot. You can choose from a variety of suggestions, accept or reject them, and edit the code manually. GitHub Copilot adapts according to your coding style and makes edits.
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Amazon CodeWhisperer
ML-powered coding companion makes it easier to build apps faster. Automated code recommendations based upon your code and comments in your editor will accelerate application development. Developers can use artificial intelligence (AI), responsibly, to create secure and syntactically correct applications. Generate complete functions and logical blocks of code without the need to search for and customize code snippets on the internet. With real-time personalized code recommendations for Java, Python, or JavaScript projects, you can stay focused and not leave the IDE. Amazon CodeWhisperer, powered by machine learning (ML), helps developers improve their productivity by generating code recommendations based upon their comments in natural languages and code in the integrated developmental environment (IDE). Automatic code recommendations empower developers to accelerate frontend and backend development. CodeWhisperer can generate code to build and train ML models.
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K.Explorer
K.Explorer is an AI system that creates better software faster, cheaper, and more efficiently. A coding assistant that increases developer productivity. An AI pair programmer that suggests code completions and complete function bodies as you type. You can also search the engine for help. It is an AI-powered Code Assistant that has been trained on millions of lines of code from private corporations, as well as billions of lines of open-source code for general purposes. Natural Language allows programmers to receive guidance and tell a text story about what code they are writing.
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StarCoder
StarCoderBase and StarCoder are Large Language Models (Code LLMs), trained on permissively-licensed data from GitHub. This includes data from 80+ programming language, Git commits and issues, Jupyter Notebooks, and Git commits. We trained a 15B-parameter model for 1 trillion tokens, similar to LLaMA. We refined the StarCoderBase for 35B Python tokens. The result is a new model we call StarCoder.
StarCoderBase is a model that outperforms other open Code LLMs in popular programming benchmarks. It also matches or exceeds closed models like code-cushman001 from OpenAI, the original Codex model which powered early versions GitHub Copilot. StarCoder models are able to process more input with a context length over 8,000 tokens than any other open LLM. This allows for a variety of interesting applications. By prompting the StarCoder model with a series dialogues, we allowed them to act like a technical assistant.
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Company Details
Company:
OpenAI
Year Founded:
2015
Headquarters:
United States
Website:
openai.com
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