What You Still Don’t Know About CBOT GPT

AI

An Overview of GPT

GPT (Generative Pre-trained Transformer) is an artificial intelligence model developed by OpenAI. Its fundamental operation is based on training with vast amounts of data to perform language-based tasks. GPT learns the rules of language and uses this knowledge to generate human-like texts. Among its most common applications are text completion, text generation, translation, question-answering systems, and text analysis. The greatest strength of GPT is its ability to produce meaningful and contextually appropriate texts on various topics.

In short, GPT is an AI model that has revolutionized natural language processing.

What is CBOT GPT?

CBOT GPT is the GenAI module of the CBOT Platform, offering generative AI-based solutions and accelerating the digital transformation processes of businesses through the integration of large language models (LLMs). CBOT GPT works in integration with different language models such as CBOT LLM, OpenAI, Azure Open AI, Anthropic, Llama, and Mistral, providing a flexible and enriched AI experience. Through these integrations, businesses can achieve both highly accurate results and a secure platform for data-driven decision-making.

Features of CBOT GPT
Flexible Language Model Integration and Advanced AI Capabilities

The CBOT platform offers flexibility in using various language models. It provides seamless integration with different models such as OpenAI, Anthropic, Llama, Mistral, or CBOT’s own local LLM. Users can select the language model that best fits their needs and easily adjust its parameters through a user-friendly interface.

The platform fully harnesses the powerful capabilities of Large Language Models (LLMs). With Retrieval-Augmented Generation (RAG) technology, users can directly ask questions to documents and receive contextually appropriate responses. Additionally, advanced conversational agents can be created on the platform. These agents can perform complex tasks, handle multi-step queries, and maintain natural dialogue with users.

This comprehensive language model compatibility and advanced AI capabilities elevate CBOT beyond just a virtual assistant platform, transforming it into a powerful knowledge processing and decision-support system. Thus, businesses can gain data-driven insights, improve customer interactions, and optimize business processes.

No-Code Platform

CBOT GPT is an innovative platform that allows you to implement generative AI and GPT (Generative Pre-trained Transformer) projects without requiring coding skills. While traditional methods require extensive software development expertise to integrate and customize GPT models, CBOT’s no-code interface simplifies this process.

The platform enables users to design complex generative AI projects using drag-and-drop interfaces and visual tools. For example, to create a custom chatbot:

  • Users can select the desired LLM infrastructure via the interface.
  • They can choose pre-built templates for the project’s purpose.
  • Data sources can be configured easily to train the model with their own data.
  • The chatbot’s personality and response style can be customized using visual tools.
  • A hierarchy between various data sources (e.g., company databases, documents) can be created.
  • The chatbot’s behavior and information flow can be designed visually using a flowchart.

All of this can be done without writing a single line of code. CBOT’s advanced algorithms running in the background automatically transform the user’s design into a functional system.

This approach significantly reduces the development time and cost of AI projects. It also allows non-technical team members to develop AI solutions, promoting innovation within the company.

Hybrid Worker Systems Based on NLP and GenAI

The CBOT GPT module works in integration with the CBOT Core and CBOT Fusion modules, enabling corporate projects to be realized with a hybrid approach. This advanced system is designed with data privacy and security at its core. Now, let’s delve deeper into the operation and advantages of this hybrid system:

  • Generative AI Integration: The CBOT GPT module utilizes generative AI technology to draw from various sources (documents, databases, websites, etc.) and generate comprehensive and accurate answers to incoming questions. Customized model training provides integration of company-specific knowledge and terminology along with prompt engineering infrastructure.
  • Traditional NLP-Based Approach: The CBOT Core module offers an ideal solution for situations requiring security-sensitive or standardized answers or flows by using a traditional intent structure. This ensures the safe handling of information that should not be sent to the language model.
  • Integration Capability: The CBOT Fusion module facilitates integration with necessary internal and external systems through a no-code interface. With this module, you can easily integrate and optimize data flows within your existing processes and services.
  • Hybrid Model Orchestration: The hybrid structure combines the strengths of different technologies, ensuring optimal performance and security.
  • Data Privacy and Security: The hybrid system meets the data privacy and security requirements that are critical in the corporate world when using cloud-based LLMs. Sensitive information is processed in a controlled manner and is only sent to the GenAI model when necessary.
  • Scalability and Flexibility: Hybrid structures are designed to adapt to the growing needs of businesses. New data sources or business processes can be easily integrated, and the language models in use can be changed.

This hybrid solution offered by CBOT provides a data-driven, secure, and flexible approach to the corporate world. By combining the power of Generative AI with traditional NLP and specialized integrations, it meets the complex needs of modern businesses. This system stands out as a reliable partner in the generative AI transformation journey of organizations, prioritizing data privacy and security.

Projects Launched Quickly Without Deployment

CBOT GPT offers an innovative approach that fundamentally changes traditional software development and deployment processes. This system supports corporate efficiency and innovation by enabling projects to be rapidly implemented. Here are the advantages and operating principles of this solution:

  • Accelerated Project Lifecycle: By eliminating traditional deployment processes, it shortens the time from the idea phase to the implementation phase. This allows businesses to respond more quickly to market changes and customer needs.
  • No-Code Approach: User-friendly interfaces, a code-free command management architecture, and drag-and-drop functions enable non-technical analysts to develop complex systems. This reduces the workload on IT departments.
  • Pre-Integrated Modules: Ready-made modules and templates offer fast solutions for common business scenarios. This allows projects to be customized from existing solutions rather than starting from scratch.
  • Hybrid Infrastructure Advantage: Combining traditional and modern technologies, the hybrid infrastructure provides flexibility and reliability. This means seamless integration with existing systems and easy adaptation to future technologies.
  • Real-Time Iteration and Optimization: The ability to make quick changes and updates in the live environment supports a continuous improvement culture. User feedback can be instantly evaluated and applied.
  • Resource Optimization: Eliminating deployment processes allows IT resources to focus on more strategic projects, increasing the overall innovation capacity of the business.
  • Cost Efficiency: Removing traditional deployment processes reduces hardware costs and labor requirements.

Multi-Source Data Integration and Smart Querying Process

CBOT GPT seamlessly integrates your company’s vast data ecosystem and utilizes this data effectively. The system has the ability to process various data formats and, through integration with different Large Language Models (LLMs), can extract and analyze information from these different types of files.

One of the system’s key features is its smart and hierarchical querying capability. For example:

  • It first searches through internal company documents.
  • If the necessary information cannot be found, it looks at call center ticket data.
  • Then, if needed, it queries data from other integrated systems.

This intelligent querying process ensures fast and accurate access to information.

Thanks to this comprehensive integration and smart querying structure, your company can maximize the efficiency of its data sources, accelerate decision-making processes, and increase overall operational efficiency.

Below are some examples of systems integrated with CBOT GPT:

  • CSV, JSON, TXT, XLSX, DOCx, Scanned or text-based PDFs, URLs, etc.
  • Internal Databases and Systems (MySQL and PostgreSQL)
  • Email and Messaging Platforms (GMAIL, Outlook, SMTP)
  • File Storage and Sharing Systems (FTP)
  • Calendar and Project Management Tools (Outlook, Google Calendar)
  • Data Analytics and Reporting Systems
  • Third-Party APIs and Services
  • Microsoft SharePoint
  • Websites and all sub-URLs

Optimized Responses for Efficiency and Speed

CBOT GPT’s advanced caching feature is designed to optimize system performance and response speed. This innovative approach offers the following advantages:

  • Intelligent Caching: Answers to frequently asked questions and repeated processes are stored in the cache, eliminating the need to rerun the language model each time.
  • Fast Response Time: Thanks to caching, pre-processed data becomes instantly accessible, significantly reducing response times.
  • Resource Optimization: Unnecessary use of the language model for repetitive tasks is prevented, allowing system resources to be used more efficiently.
  • Consistency: It ensures consistent responses to similar queries, improving the user experience.
  • Scalability: Even in high-traffic environments, system performance is maintained, ensuring effective operation in large-scale applications.
  • Personalization: The cache can be customized according to user preferences and behavior, offering a more personalized experience.
  • Real-Time Updates: The cache can be dynamically refreshed with new information and updates, ensuring that responses are always up-to-date.

Thanks to these features, CBOT GPT performs exceptionally well, especially in high-demand customer service operations. Fast and accurate responses increase customer satisfaction, while optimized use of system resources reduces operational costs.

On-Premise Installation Capability

One of the most critical issues in the corporate world is data privacy and the protection of personal information. CBOT GPT offers flexibility by providing businesses with both cloud and on-premise installation options in the field of generative AI. This feature is especially advantageous in industries subject to strict regulations, such as banking, insurance, and public services.

This flexible structure of CBOT GPT allows companies to develop their generative AI projects securely within their own infrastructure, without the obligation to operate in a cloud environment. Thus, businesses can build a structure that suits their own needs and security standards.

Opportunity to Develop Personalized AI Agents

CBOT GPT offers the capability to create agents tailored to users’ needs. For example, it is possible to develop agents that perform specific tasks such as SQL Agents and JSON Agents. SQL Agents automate database queries, while JSON Agents provide specialized solutions for processing and analyzing JSON data. This customization opportunity allows businesses to develop more efficient and effective solutions for specific business processes. By designing agents that suit their needs, users can manage and analyze data faster and more reliably. As a result, operational efficiency increases, and decision-making processes become stronger.

Flexible Data Processing with Multimodal RAG

CBOT GPT offers multimodal RAG (Retrieve and Generate) capabilities, allowing users to effectively combine and process different data types. This system performs a dynamic chunking process to prepare the data for use with large language models. Users can break the data into pieces according to their needs, enabling more efficient querying and analysis of specific information. This makes the data management process more flexible, allowing users to fully leverage the potential of large language models. This customizable structure is a significant advantage, especially for businesses dealing with complex datasets.

Data Conversion with OCR Technology

CBOT GPT offers the ability to convert physical documents into digital data through its Optical Character Recognition (OCR) capabilities. This technology identifies the text in scanned documents, allowing users to make this data easily accessible and processable. OCR can recognize not only printed text but also different writing styles such as handwriting, providing flexibility to handle a wide range of data. This feature greatly simplifies processes such as analyzing document content, searching for information, and optimizing data management. As a result, businesses can accelerate data collection and management processes while significantly reducing the need for manual input.

Open-Source Embedding Model Integration

CBOT GPT allows the integration of open-source embedding models. This helps users develop language and data processing solutions tailored to their projects. For instance, if a business wants to analyze customer feedback, it can use an open-source embedding model to convert the words in the feedback into numerical vectors. This way, it can better understand and analyze the text.

Open-source models can be customized according to users’ needs. For example, a financial institution might want to create a model that includes only financial terms. Such integration allows businesses to perform better data analysis and generate specialized reports. As a result, open-source embedding models help companies be more effective and flexible in their data projects.

Adding and Editing Prompts in the User Interface

CBOT GPT provides a user interface where users can easily add and edit prompts. Through this interface, users can create new text requests, update, or optimize existing ones. For example, a user may want to change their prompt to receive better responses on a particular topic. The user-friendly design of the interface allows for these changes to be made quickly.

Users can customize their requests by highlighting specific words or phrases in the texts. Additionally, it is possible to compare the performance of different prompts, making it easier to find the most suitable formulation for obtaining the most effective responses. Ultimately, this feature enhances the user experience, allowing for more targeted and effective results.

Open-Source Vector Database Integration

CBOT GPT supports the integration of open-source vector databases, allowing users to manage large datasets more effectively. Vector databases are used to store numerical representations of data and are particularly important in machine learning and natural language processing applications.

For example, if a business wants to analyze customer interactions, it can upload this data to an open-source vector database. This way, it can quickly query and analyze similar texts or items. Such integration allows for faster access to and processing of data while improving performance.

Moreover, users can choose different vector databases to find the best solution that fits their needs. This gives businesses flexibility and scalability in their data analytics and AI projects. Ultimately, the integration of open-source vector databases helps users optimize their data management.

Predefined Responses to Irrelevant Questions

CBOT GPT offers an effective filtering mechanism to optimize user interactions by providing predefined responses to irrelevant or harmful questions. This system does not answer questions unrelated to the document but instead provides a standard response that redirects the user to relevant information. For example, when a user asks an unnecessary or inappropriate question, the model offers a standard reply instead of engaging with the irrelevant query.

Additionally, with its ability to recognize potentially harmful content, it prioritizes user safety. This filtering mechanism not only ensures valid and constructive responses but also enhances the overall user experience. As a result, this feature enables more effective interaction and secure information exchange.

Querying Graphs and Tables in Documents

CBOT GPT allows users to query graphical and tabular information found in documents. This feature enables a more comprehensive analysis of data in the documents. For example, when a user asks questions based on data in a specific table, the system can recognize this information and generate responses accordingly.

Similarly, data in graphs are processed, and users can request information about trends or relationships shown in the graphs. This helps users interpret the data more effectively and supports decision-making processes. Ultimately, the ability to query graph and table data enriches the content of the documents and offers deeper analysis opportunities.

End-to-End Communication with Avatar Support

CBOT GPT introduces a new dimension in user interaction through avatar support. This technology gives virtual assistants a visual identity, making the customer experience richer and more engaging. Avatar-based communication facilitates emotional connections for users, enabling interactions to be personalized and smooth. Here are the key advantages of this approach:

  • Personalized Experience: Avatars can be customized to match the brand identity and adapted for different customer segments. This provides a more personalized communication experience, making customers feel special.
  • Emotional Connection: Avatars, supported by gestures and facial expressions, help users feel more comfortable and understood. This increases customer satisfaction and strengthens brand loyalty.
  • Continuous Improvement with Data Analytics: Data obtained from avatar-supported communication processes can be analyzed to understand customer expectations and trends. This feedback allows for continuous improvement of services.
  • Multilingual Support and Global Adaptation: Avatars capable of serving in different languages and cultures enable companies to reach a wider customer base, enhancing cross-border operations.

CBOT GPT offers an innovative solution that provides a significant advantage in businesses’ digital transformation processes. With its ability to integrate with various language models, a no-code approach, and hybrid system management, this generative AI-based platform accelerates project development and reduces costs. Moreover, the flexibility it provides in terms of data privacy and security offers a critical assurance, particularly in regulated industries.

The wide range of applications CBOT GPT offers increases efficiency across various areas, from document management to customer support processes, while enriching user experience with personalized suggestions. In conclusion, CBOT GPT stands out as an indispensable tool for businesses seeking a competitive edge in the market. In the future, solutions provided by generative AI will contribute to making businesses smarter, more efficient, and more customer-centric.