4 Ways To Use AI Right Now In Your Marketing Program

You can automate many tasks using AI. This will help you to improve your marketing efforts.

I used GPT-3 technology to demonstrate that an AI can pass an SEO multiple-choice test and solve SEO case studies.

Deepmind’s Gopher is one of many advanced technologies that outperform GPT-3. It works in the following areas: Science, math, medicine, humanities, and social sciences.

The graph below shows the accuracy of answers given by Gopher and UnifiedQA, GPT -3, and a human expert.

Please turn on the subject matter, it is possible to see the gap between an AI’s level and an expert.

This suggests that AI may be able to surpass the expertise of non-experts.

AI is a valuable support resource in many areas of marketing.

Let’s look at AI in action and how it can be integrated into businesses.

4 Methods to Interact with an AI Tool

We will be keen on the vital interaction methods that can create the best AI-human combination.

1. Use Your Web Browser

Interaction with the AI is best done in your back-office or via a Chrome plugin.

You can help your users with many tasks, including document classification, writing assistance, and text extraction.

A Javascript call can ask the AI to perform specific tasks.

Here is an example of a JS-GPT-3 integration.

This example shows that you can connect a language model such as GPT-3 with just 20 lines of code.

var xhr = New XMLHttpRequest()

xhr.open(“POST”, ‘https://api.openai.com/v1/engines/text-davinci-002/completions’);

xhr.setRequestHeader(“Content-Type”, “application/json”);

xhr.setRequestHeader(“Authorization”, “Bearer sk-RkXXXXXXXXXXXXXXXXXXXXXXXX”);

xhr.onreadystatechange = function () {

{if (xhr.readyState === 4) If (xhr.readyState ===4),

{if (xhr.status==200)If (xhr.status==200),

var data=xhr.responseText;

var jsonResponse= JSON.parse (data);

answerGPT3 = jsonResponse[“choices”][0][‘text’];

console.log(answerGPT3);

}

{else Other information

console.log(‘API error’);

console.log(xhr.responseText);

}

}};

var prompt = “List 50 ideas about…

var data = `{

“prompt”: “PROMPT”,

“temperature”: 0,

“max_tokens”: 256,

“top_p”: 1,

“frequency_penalty”: 0,

“presence_penalty”: 0

}`;

data = data.replace(‘PROMPT’, prompt)

xhr.send(data);

It’s easy to integrate advanced AI features if your back-office supports Javascript.

To test the initial connection, create a Chrome plug to assess an AI’s ability to respond to expert certifications correctly.

You can install a Chrome plugin that supports optical character recognition.

You can then use a Chrome plugin to modify the CSS of a page so that it is as easy to understand as possible.

We have given each answer to a multiple-choice question in an example exercise, a letter.

We then sent the instructions to the AI with the 20 lines of code already in the file to generate the text fields.

This program, known as “Asimov’s tests,” allowed the AI to obtain several certifications.

The AI was then tested on the topic of medical science. It scored scores exceeding 60% without having any prior training.

This shows that if you choose your subject carefully, the AI results can significantly help your teams improve their day-to-day work.

2. Using Your Data Visualization Tools

Tools that allow code writing or documentation generation have appeared over the last few months.

A great use case is to generate dashboards and SEO tools with instructions.

Many open-source tools, such as Streamlight, have advanced components in Data Visualization and Manipulation.

You are requesting an app that interfaces with your data are simple by providing the necessary instructions.

You can create a web app with an interface and code.

This is a relatively recent practice, as we only use language models fed exclusively with computer code. Again, the results are impressive.

The following graph shows the most used code generators and the data they were created.

• CodeParrot: 50 GB.
• GPT-3 Codex: 159 GB.
• InCoder: 216 GB.
• PolyCoder: 249 GB.
• AlphaCode: 715.1 GB.
• CodeGen: 1.38 TB.

You can generate applications in many languages, including Java, C, JS and PHP.

The AI can create your SQL query and your graphs in seconds.

If you want to improve your use of your favorite tools, you must practice.

3. Chatbots

A chatbot can be created to answer specific questions. You should clearly indicate its role in the instructions.

Here I ask the chatbot to reply as if it was a doctor. However, it also uses kindness and humor.

AI-based chatbots can provide personalized advice and recommendations based on customer preferences. You can tailor the AI response to your needs.

Danny Richman created MuellerBot, an AI version Google’s John Mueller. This is a great example.

The bot uses the same principle as John Mueller to answer SEO questions.

It can be both entertaining and frightening, with the answers often being quite precise.

4. Using An AI Assistant Program

Last but not least, AI assistants are programs that run in the background and apply SEO fixes to pages with classic errors or poorly constructed pages.

These applications were first created in 2016 when Facebook implemented bug fixes using Getafix.

The assistant uses the information from the past to create correction templates. These templates are then applied and checked by a human before being rolled out.

This is especially true in SEO, where we know that SEO problems such as meta tag titles, descriptions, and pagination are common.

You can do this by using GPT-3 Edit Mode and editing the SEO pages according to the instructions.

Here are my instructions

• Include a title and an H1 tag at the beginning of the text.
• Add a hyperlink to the most important word within the text.
• Use this tool to create valuable outlines at the end of a text.
• In the body of your text, add a YouTube video.
• Bold the top five concepts

We can see the excellent results of the generated text by looking at the H1 title. The bold words are precise, and the YouTube video is relevant to the topic.

The AI assistant can save you time.

A note: These links are all dummy. However, you can connect them to a link table and use mapping tables for LINK1 to be replaced with a link in your CSV file or database.

You can now see the potential for automating these tasks.

You now better understand the various ways to interface a language model with existing tools. Don’t be afraid to use the one that is most effective for you.

·         Chrome Plugin

·         Straight into your CMS

·         Via a chatbot.

·         Data visualization.

·         AI Assistant.