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GPT Interface is a web platform that allows you to easily add a ChatBot module to your website. This ChatBot can answer questions posed by site visitors using various GPT models to generate responses.

Our goal is to provide a platform that is easy to use and does not require special technical skills, while also offering powerful tools for managing and personalizing the ChatBot.

By adding a conversational ChatBot, your website transforms from a static information channel into an active, interactive communication tool that serves not only to present the company but also as a virtual place for customer contact and service.

When generating responses, the ChatBot uses data and facts predefined by you—product specifications, descriptions, and prices of goods or services, frequently asked questions from customers, or other useful information specifically related to your company’s activities.

The main task of the processing module in GPT Interface is to receive inquiries from the ChatBot module (Widget) on your site, process them, and send them to the GPT model with the necessary context. The context includes all the information provided to the model before and during the response—previous messages in the dialogue, specific instructions, data from files or databases. This information helps the model better understand the questions asked and have the necessary resources to formulate an accurate and relevant response. Thus, the model can generate the most appropriate answer, which is then sent back to the site in real-time and displayed to the visitor who made the inquiry.

With GPT Interface, you can use the most popular and new models specialized in natural language processing. These include: GPT-3.5 Turbo, GPT-4 Turbo, GPT-4 Omni, provided by OpenAI, as well as models provided by Gamma Soft (such as BgGPT, which is specialized for the Bulgarian language, and Mistral, focused on processing foreign languages).

GPT models are increasingly being applied in various automated systems and software solutions. Undoubtedly, one of the most suitable applications is in building conversational ChatBot modules.

GPT (Generative Pre-trained Transformer) is a computer program (software) that receives input data (a question) and, after processing, generates corresponding output data (an answer). GPTs are highly advanced language models that use techniques to create text content (responses) based on questions and provided context. This is also the main condition for ensuring the quality operation of GPT models—clarifying the context that needs to be sent to the model. These models are pre-trained with vast amounts of textual information, allowing them to develop a deep understanding of language structures and nuances of text. GPT also uses the attention mechanism, which further allows the model to consider and analyze different parts of the received input data.

GPT Interface can organize context from:

1. Personalized instructions: Users of GPT Interface can create an instruction that sets how the model should respond. The instruction can include guidelines for tone, style, and specific requirements for the responses.
2. Conversation history: Some of the recent messages in the conversation can be included. This allows the model to consider previous questions and answers to provide more specific and consistent responses in the current conversation.
3. Databases: GPT Interface uses the Vector Lab Engine module, which allows the creation and management of vector databases. These databases contain information that can be used as context when generating responses. For example, if the ChatBot needs to answer a question about a specific product, information about that product can be retrieved from such a database and used as context.
4. Integration with external systems: GPT Interface allows integration with various external systems and databases, further enriching the context used by the models. This may include CRM systems, content management systems, and other data sources that process information in real-time.

The process of integrating the HTML ChatBot Widget includes several key steps:

1. Registration and profile settings.
2. Widget settings and personalization, generating JavaScript code, and integration into the website.
3. Creating an assistant and/or entering personal information into vector databases.

Test and analyze the communication between site visitors and the ChatBot to update and optimize the information it works with. GPT Interface provides detailed analyses of ChatBot behavior and performance. They enable companies to track and refine their customer service strategies while optimizing their costs.

To create a ChatBot Widget and effectively manage the information that your ChatBot will use, GPT Interface provides the following modules:

1. HTML ChatBot Widget builder, which allows for Widget generation and design personalization.
2. Vector Lab Engine: A module for managing vector databases and creating GPT assistants with the ability to associate files and functions with the ChatBot.
3. Widget statistics: Provides detailed analyses of ChatBot behavior and performance.
4. Chat interface: A tool for direct communication with GPT models, allowing users of GPT Interface to build private discussions, ask questions, and receive answers with personalized instructions and settings.