part of convedo
OpenAI Codex is a descendant of GPT-3 which stands for Generative Pre-trained Transformer 3. GPT-3 is a massive deep learning language model, trained using internet data to generate any type of text. Developed by OpenAI, it requires a small amount of input text to produce large volumes of relevant and sophisticated machine-generated text. As of early 2021, GPT-3 is the largest neural network ever produced and, as a result, it is better than any prior model for producing text that is convincing enough to seem like a human could have written it. In addition to generating text, GPT-3 can also create workable code using only a few snippets of example code text.
Codex is a new AI system created by OpenAI and is a version of GPT-3 that has been finetuned for programming tasks. OpenAI Codex has broad knowledge of how people use code and is significantly more capable than GPT-3 in code generation, partly because it was trained on billions of lines of source code from publicly available sources. OpenAI Codex has much of the natural language understanding of GPT-3 but it can produce working code in any piece of software with an API using simple commands in English as input. As a general-purpose programming model, it can be applied to essentially any programming task. The Codex model available via the API is most capable in Python but is also “proficient” in JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, Shell, and others.
Codex is designed to speed up the work of professional programmers, as well as help amateurs get started coding. For example, codex can be used to perform tedious tasks such as rendering web pages, launching web servers, and sending emails. Alternatively, it may be used to build simple websites and rudimentary games using natural language, as well as translate between different programming languages and tackle data science queries i.e. plotting charts in Python’s Matplotlib library. These are not complicated tasks, but they’re tedious and error-prone processes, and they usually require browsing programming forums, so, having an AI assistant writing this kind of code for you can save valuable time.
The example above shows how well the model was able to understand what the user wanted from their instructions and translate this into the code that generated the landing page. Codex empowers computers to better understand people’s intent, which can enable everyone to do more with computers.
Would you like to exchange ideas with us on the subject of digital transformation and process automation without obligation? Let’s talk!