In 2023, ChatGPT (generative pre-trained transformer) is everywhere, and is starting to get integrated in various platforms. ChatGPT is an advanced natural language processing model developed by OpenAI. It is built upon a deep neural network architecture and has been trained on a massive amount of text data to understand and generate human-like language. GPT can understand context, generating coherent and contextually relevant responses, and providing valuable information on a wide range of topics. It has applications in various domains, including content generation, language translation, conversational agents, and more. GPT models have been widely adopted and integrated into different platforms and systems to enhance user experiences and facilitate human-like interactions with AI.

To find out more about Generative AI, please read this blog post written by Avanade CTO, Florin Rotar.

Another good read by Florin is this blog post about Avanade learnings working with Generative AI.

Adobe Sensei Adobe Sensei is extensively utilized within Adobe Experience Manager (AEM) to enhance content management, personalization, and user experiences. One of the most used/beneficial features is that Adobe Sensei analyzes images and videos uploaded to AEM and automatically generates descriptive tags and metadata. Sensei can identify the most relevant part of an image and automatically crop it to fit different layouts or screen sizes. It also enhances image quality by adjusting brightness, contrast, and sharpness, ensuring optimized visuals for different devices and channels. These are just a few examples of how Adobe Sensei enhances AEM by leveraging AI and ML capabilities.

By automating tasks, providing intelligent insights, and personalizing experiences, Sensei empowers users to deliver engaging and targeted content, streamline workflows, and drive better outcomes within AEM.

Use cases with GPT As an AI language model, GPT can assist with various use cases in combination with AEM. Here are some examples:

1. Content creation: GPT can help generate written content for websites, blogs, landing pages, and other digital channels. You can provide specific instructions or guidelines, and it can produce high-quality content for your AEM platform.
2. Content personalization: AEM allows you to deliver personalized content to your users based on their preferences, behavior, or demographic information. ChatGPT can assist in creating personalized content variations or provide recommendations for personalized experiences.
3. Digital asset management: AEM provides robust capabilities for managing digital assets such as images, videos, documents, and more. ChatGPT can help in tagging, categorizing, or organizing your digital assets for easy search and retrieval.
4. Marketing campaigns: Whether you're planning email campaigns, social media promotions, or other marketing initiatives, ChatGPT can support by generating engaging copy, suggesting campaign ideas, or providing insights on best practices.
5. Multichannel publishing: AEM enables publishing content across various channels, including websites, mobile apps, social media, and print. ChatGPT can assist in adapting content to different formats and optimizing it for each channel.
6. SEO: ChatGPT can provide guidance on optimizing your content for search engines. From generating meta tags and descriptions to suggesting relevant keywords and optimizing the content structure, it can help improve the search visibility of AEM-powered websites.
7. Customer support: For a knowledge base or a support portal built on AEM, it can assist in creating or updating support articles, FAQs, or troubleshooting guides. Users can interact with ChatGPT to find relevant information or receive step-by-step instructions.
8. Data analysis: AEM provides insights into user behavior, engagement metrics, and content performance. ChatGPT can help interpret the data, provide analysis, or generate reports to help you make data-driven decisions and optimize your content strategy.

These are just a few examples of how GPT can be integrated with AEM to enhance content creation, personalization, marketing efforts, and customer support. The specific use cases can vary based on needs and requirements.

Let’s talk about some real-time use scenarios to maximize efficiency.

• Virtual assistant/chatbot: One of the most relevant/useful use case is virtual assistant or chatbot. Using AEM, a custom component can be built which acts as a virtual assistant or chatbot that can handle customer inquiries, provide support and guide users through specific tasks.

  For example, a query like “how does your product help a customer?” As ChatGPT is built on natural language processing models, it will understand the query and can generate meaningful/relevant responses. This will simplify most of the transactions for the user.

• Dynamic content generation: Based on user profile, the responses can be tailored to user preferences or based on previous history/interactions.

  For example, custom component can be built to tailor the content for user who has shown interest in particular articles and display some recommendations. Let’s say the user is interested in shoes, it can display the latest shoes launched recently in the market as recommendations.

• Search: Another more useful feature on any customer site is the search. Today, most of the search engines provide the results based on text and not really using natural language search. With the integration of ChatGPT, users can enter search words as natural language and ChatGPT can generate relevant search results based on the content stored in AEM.
• Content tagging: With the integration of ChatGPT, it can analyze the content and tag the content based on its context, keywords or metadata. This will help in searchability by search engines and improve the overall content management process.

The above are few real-time use case journeys where ChatGPT can be leveraged. There are other places too like content summarization, video/image optimization based on the view port (device), real-time help to reduce errors in filling complex forms, etc.

How to integrate with GPT To integrate ChatGPT with AEM, you can follow these general steps:

Set up an API endpoint:

• You need to set up an API endpoint to interact with ChatGPT. This can be achieved by creating a server-side component or a servlet in AEM that handles incoming requests and communicates with the ChatGPT API.

Make API calls to ChatGPT:

• In your server-side component or servlet, you can make API calls to ChatGPT to generate responses.
• You'll need to use an HTTP client library, such as Apache HttpClient or OkHttp, to send requests to the ChatGPT API endpoint.
• Construct a request payload with the user's message and any relevant context information.
• Send the request to the ChatGPT API endpoint using the appropriate HTTP method (e.g., POST).
• Parse the response received from the ChatGPT API, extract the generated message, and return it as a response from your server-side component or servlet.

Integrate the component into AEM:

• Depending on your specific AEM setup, you may need to integrate the server-side component or servlet into your AEM project.
• This typically involves creating a custom AEM component or extending an existing one.
• Configure the component to handle user input and invoke the server-side component or servlet to communicate with ChatGPT.

Render the ChatGPT response:

• Once you receive the response from ChatGPT in your server-side component or servlet, you need to render it in the AEM frontend.
• This can be done by updating the appropriate HTML or component template with the response content.

Please note that the code implementation for this integration will depend on your specific requirements, the programming language used in your AEM project (such as Java or JavaScript), and the details of the ChatGPT API you are using. It's important to refer to the documentation and guidelines provided by ChatGPT's API and AEM to ensure a successful integration.

References: 

https://platform.openai.com/docs/introduction
 https://platform.openai.com/docs/api-reference