StackShift Unleashes the Power of AI: Integrating GPT-3 into Composable Content and Commerce

AI technology is making huge waves today in the online marketing and search engine optimization world. Through analyses of various language models, AI technologies can now generate human-like text that requires minimal or no fine-tuning at all. Through deep learning methodologies and by processing large language models, AI technologies bring profound implications to online businesses.

Websites and e-commerce companies can then generate an API key from most of these artificial intelligence tools (e.g. from an OpenAI account - specifically GPT-3) and integrate it into their platforms for better website management and customer service. The vast amounts of benefits they bring and the challenges they solve can make the lives of developers, business owners, and website managers so much more comfortable!

What is GPT-3?

Right now, one of the most popular AI technology generating loads of noise online is GPT-3. Many companies have already integrated it and many people are enjoying it now, such as Microsoft's Azure customers.

Technically, this technology is just software code but its effects are revolutionizing so many industries today. What is it and why is it getting so much traction that many companies out there are excited to integrate it into their processes and websites?

GPT-3, the third generation of OpenAI's Generative Pre-trained Transformer language model, has revolutionized the way businesses create and manage content. Integrating GPT-3 into a web content management system (CMS) has become increasingly important for companies and organizations looking to improve the efficiency, productivity, and accuracy of their content creation process.

1. Increased efficiency and productivity: One of the main advantages of integrating GPT-3 into a CMS is increased efficiency. With the ability to generate high-quality content at a faster rate, GPT-3 can help businesses save time and resources, allowing them to focus on other important tasks. For example, companies can generate catchy product titles and descriptions for a long list of their own products in just an hour or two compared to taking several days before. Sounds amazing, doesn't it?
2. Improved accuracy: GPT-3 is a technology with advanced language processing capabilities that analyze internet data and creates powerful content that makes it a great tool for business communication and customer engagement. GPT-3 is also highly accurate in generating content that is relevant, engaging, and informative. This helps businesses to avoid mistakes and inconsistencies in their content, ensuring that their messaging is clear and consistent across all platforms.
3. Enhanced personalization: Integrating GPT-3 into a CMS (via an API key) allows businesses to personalize their content based on the specific needs of their target users. Using data-driven insights and advanced natural language processing, GPT-3 can generate customized content that resonates with its audience, improving engagement and conversions. What is even better is that one can communicate with GPT-3 and ask it all kinds of queries and it answers you using natural language or plain language. Such technology is definitely easier to understand, which means next-generation marketing and website management become so much easier.
4. Streamlined content creation process: GPT-3 eliminates the need for manual data research and content creation, streamlining the process and allowing any company to focus on other important tasks. With the ability to automatically create high-quality content on demand, companies can create and publish content faster in the future, keeping their audiences engaged and informed. Of course, users of GPT-3 still need to verify the data produced by the AI, but the time to do so is considerably shortened.
5. Better scalability: GPT-3's capabilities to generate content and topic suggestions at a rapid pace makes it ideal for businesses looking to scale their content creation efforts. This benefit undoubtedly makes it easier for organizations to handle increased demands for content, ensuring that their audience is always engaged and informed.
6. Improved idea generation: Any business can get stuck in determining which topics to discuss next on their blogs, which challenges to address, which benefits to highlight when it comes to their products or services, or which examples and use cases to leverage in order to keep their customers engaged. By using the right prompt queries on GPT-3, content managers and marketers can let the AI do most of the heavy lifting. All you have to do then is take into account all of the AI's suggestions and ideas and then create original content for your next post or social media blast - a great solution for any busy team or individual.

Difference between AI-generated content and structured content.

GPT-3 and structured content are two different approaches to doing research, creating, and managing content. While both have their advantages, capabilities, and use cases, it's important to understand the differences between the two in order to determine which approach is best for your team.

1. Generation process: GPT-3 is an AI-powered language model that can generate or write content in a matter of seconds. Structured content, on the other hand, is created manually by humans and often involves a more time-consuming process.
2. Quality: GPT-3 is capable of producing high-quality content that is accurate and engaging. However, it's important to note that the quality of GPT-3 generated content can vary depending on the input or prompt data and the quality of the training data. Structured content, being created by humans, is more consistent in terms of quality and accuracy but can also be affected by the experience and knowledge of its developers.
3. Personalization: GPT-3 is capable of personalizing content based on data-driven insights, allowing a company to create tailored messages for its target users. Structured content, on the other hand, is often more general in nature and not specifically tailored to a particular group of users.
4. Efficiency: GPT-3's ability to generate AI content at a rapid pace makes it ideal for organizations looking to improve the efficiency of their content research and creation process. Structured content, being created manually, is often a slower and more resource-intensive process.
5. Scalability: GPT-3 is a technology with the ability to generate content at a rapid pace, making it ideal for organizations looking to scale their content creation efforts and boost their next-generation marketing results. Structured content, being created manually, can be more challenging to scale as the demand for content increases. You would probably need to allocate more developers, writers, and editors to the whole process.

The relevant features GPT-3 has when it comes to content creation

Knowledge is power and AI technology takes this saying to a whole new level. After all, it has access to tons of data online and on its own servers, and can process vast amounts of data at lightning speed. Whatever you are concerned about, all you have to do is prompt the AI tool with a question or an instruction and then enjoy the benefits.

This is like having a team of researchers, writers, editors, and marketers at your fingertips without actually spending so many company resources. Any online business or company owner would say this is a pretty good deal!

So what exactly are the features of GPT-3 that can address many of the content creation challenges so many of us face today?

1. Creating content

GPT-3 has mastered the skill of creating any type of content. Examples of the content or data you can generate are poems, a scenario for a new talk show, a science article, content for apps, engaging product descriptions, or a blog post for your website. The power that GPT-3 provides its users is simply wide-ranging.

Creative writing

Several tools have already been built around GPT-3’s writing skills model. Some allow you to talk to a famous person, while others mimic the writing style of famous authors. GPT-3 can talk like a philosopher and write funny poems. Proofreading is surely required, but GPT-3 has a strong potential to mimic bloggers and writers.

Answers and tips

Having been trained to perceive, analyze, and process huge amounts of data — and having been fed terabytes of text — GPT-3 can answer almost any question. It can ponder the existence of God, generate daily horoscopes, and predict the World Series winner.

This feature may be helpful for creating GPT-based chatbots or automating customer support. Once you give GPT-3 access to enough data about your business, sales process, reimbursement policy, and terms of use, for example, it will be able to address your questions and give correct answers as well as provide immediate help to your customers.

Podcasts and screenplays

Screenwriting as a form of creative writing is another task GPT-3 integration may accomplish. On the arr.am blog you can read an entire standup comedy generated by GPT-3. The AI wrote a conversation between Peter Thiel, Elon Musk, and Larry Page about running a business.

Resumes and legal documents

Texts like cover letters, job descriptions, and resumes can be hard to create. Job seekers put much effort into creating resumes employers will notice, and recruiters and hiring managers create dozens of job descriptions until they finally approve the most attractive one.

It gets even worse with cover letters: in order to write a strong cover letter, you need to conduct deep research, learn as much as you can about the company, and pique the reader’s attention with the first sentences. GPT-3 is suitable for generating terms and conditions, agreements, legal documents, and other similar content.

Presentations

It takes several seconds for GPT-3 to convert plain English into a presentation. There are some weaknesses, however: designs and visual effects may be poor. However, GPT-3 presents a great opportunity to automate routine tasks and quickly get ready for a presentation, meeting, or tech talk.

2. Comprehending content and conducting semantic search

One of the unique features of GPT-3 is its ability to find content not only using keywords but by understanding the meaning of each word. So unlike traditional search engines that primarily use keywords to provide search results, GPT-3 can provide answers based on the topic, the meaning of the search prompt, and the user’s intention — not just the words themselves.

GPT-3 may enable search engines to answer more complex, natural language questions in a shorter time. Algolia, an AI-powered search tool, leverages the OpenAI API to better understand and address user queries and cut response times to 100ms.

3. Better SEO

Effective use of GPT-3 may greatly simplify the efforts of SEO experts. These specialists invest tons of time in research and work with tools for identifying keywords, and a semantic core to improve web page rankings. With a GPT-3-powered assistant, this task may take seconds. GPT-3 has the potential to revolutionize the entire website content strategy and bring a website to the top of the search results.

We can assume that in the future, web page rankings will be determined by more than keyword density. An article’s real usefulness will make a difference. Hit-or-miss content strategies driven by low-quality content packed with keywords will lose out to intelligent strategies focused on valuable content.

4. Translating

OpenAI calls this feature “Polyglot.” The GPT-3 API works best in English. However, it can translate English to other languages with just a few sentences for context.

Sure, but lots of translation and dictionary apps do the same, you may say. Here’s the difference: while traditional translation software uses a database with words in different languages, GPT-3 learns by itself. It uses the information it has already studied during pre-training, compares it to the examples, understands the language, the context, the prompt, and the task, and then translates the phrase.

Translating one language to another is the simplest example of what GPT-3’s Polyglot feature can do. But GPT-3 can also do things like translate legal texts into simple, understandable English. GPT-3 is basically your best company for smooth-sailing content creation and management.

What is Composable Content?

When dealing with any composable content platform, one has to understand composable content.

This refers to the practice of creating modular, reusable content data pieces that can be combined in various ways to form different types of content. This approach allows content creators to quickly and easily build and publish various types of content for a variety of digital channels and apps, such as blog posts, social media posts, email campaigns, and more.

Read our article on COMPOSABLE CONTENT to learn more.

What is StackShift?

COMPOSABLE CONTENT and COMMERCE GLUED TOGETHER INTO ONE SINGLE WORKFLOW AND PUBLISHING TOOL

StackShift is a great platform and tool that provides powerful benefits to your company:

1. REAL-TIME COLLABORATION

You can access all content changes made to any field and instantly roll them back if needed. And when someone’s viewing a document you’ll see their avatar in the corner, so there’s no chance of edits accidentally clashing or getting locked out.

2. Search powered by structured content

Find content across your entire workspace using chain-able filters powered by your content model. Or, reverse search for referenced content, such as locating all the documents that contain an image.

3. Worry-free deployments and rollbacks

4. Effortless continuous deployment for sites and E-commerce stores with all the infrastructure and automation required

5. A set of preconfigured APIs to query your data and build it into your UI

6. A JavaScript framework that is built on top of React.js, which is a JavaScript library for building user interfaces

How does the integration of GPT-3 with StackShift work?

GPT-3 is fully integrated with StackShift User Interface

A couple of screenshots to illustrate the integration:

The real power of the integration is shown underneath

You can basically set custom instructions (called PROMPTS) for GPT-3 at the component level and test each of your custom instructions through the playground. The better your instructions the better the desired output. We will come back to that in our next blog post.

Interested in trying out the StackShift and GPT-3 integration? We are happy to give you free access!

We dare say that GPT-3 is the future of data management, content creation, and marketing. With this AI tool integrated into our StackShift, we aim to give you more power in building and managing your websites. Get into our sandbox now to see for yourself or get in touch with us to discuss how we can move your website on the right track.