OpenAI, in addition to the improvements it has implemented south africa whatsapp mobile phone number list for GPT-4, has launched a series of engines with very specific functions. Among them, engines that develop code, such as the API Codex.
One of the applications of this function is the development of web pages (for example, a landing page ) through the use of HTML.
Codex can be loaded into the paid version of GPT-4. To use it, it is necessary to train it in the use of the HTML language (since its original function is as a programming language).
Once AI has understood the web design, it can be asked to design, for example, a landing page block by block.
Another more immediate way and with greater control of the process is to carry out the design with two complementary GPT-4 APIs: Webcrawler and Embeddings.
1. Find a website to model for you
Extract your layout and content into HTML using the Webcrawler API. Save that code as a text file.
2. Process the text
Remove any loose lines, identifying text, and any text that clutters up the code. From the resulting text, create a DataFrame (i.e. give it the HTML structure of a web page, including functions and parameters). This dataframe must be saved as a csv file.
3. Break up the text
Split the contents of the csv into fragments. Proceed to create a dataframe for each of these fragments.
4. Create inlays
Loads the OpenAI Embeddings API. Generates embeddings for each of the fragments and stores each of these embeddings as dataframes. Saves each as a csv file (embeddings.csv).
5. Create context
Load the embeds in the order you want for your web page and use the OpenAI API to develop the Q&A.
Meet Genwords: Web Positioning Agency
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