Multi-Model AI Assistant for Seamless Conversations
Deft GPT offers a cutting-edge AI system that integrates multiple advanced AI models, including cloud-based models, Allama Index, OpenAI, and Google Pro. Some models are deployed using custom GPUs, while others are accessed through APIs. The integration of diverse models allows the platform to provide dynamic and versatile AI-driven responses, catering to a wide range of user needs.
Problem Statement
The client faced several critical challenges when attempting to integrate various AI models into one unified system:
- Seamless Integration: The varying data structures and requirements of different AI models made it challenging to ensure smooth interoperability.
- Token Limits: Each model had specific token limits for API requests, which led to errors during lengthy conversations and increased costs.
- Document Handling: Managing multiple document types (DOC, DOCX, Excel, PDF, SRT, EML) efficiently was crucial for the system to perform as expected.
Solution Statement
Techling solved these challenges by developing a comprehensive, integrated solution tailored to the client’s needs. The solution provided:
- Robust Backend Mechanism: Techling developed a backend system that effectively handled token limits, preventing errors during extended conversations. The system checks the message size before processing requests, and when a chat reaches its token limit, it removes older messages to maintain context.
- Serverless Models for Embedding Tasks: We utilized serverless models to handle embedding tasks, ensuring efficient processing and scalability. This deployment ensured that the system could dynamically scale according to the task demands.
- Image Generation and Upscaling: For image-related tasks, Techling incorporated models such as DALL-E and Defusion, enabling users to generate and upscale images in different sizes, further enhancing the platform’s versatility.
Seamless Document Processing: Techling implemented solutions to handle and process various document formats (DOC, DOCX, PDF, Excel, SRT, EML), ensuring the system could seamlessly interact with these document types without compromising performance or functionality.
Features & Benefits
Effective Request Management
The backend mechanism ensures efficient handling of requests and token limits, preventing errors during extended conversations and document interactions.
Chat Context Maintenance
By managing the token limit and maintaining chat history, the system preserves context, making the conversation flow uninterrupted.
Scalability and Flexibility
The system offers high scalability, enabling the client to integrate various models and services as needed, offering maximum flexibility for future requirements.
Image Generation and Processing
With image generation and upscaling capabilities, the platform provides users with advanced tools for custom image creation.
Enhanced User Engagement
The system supports voice-enabled chat, adding a layer of interactivity and engagement for users.
Technologies Used to Build the Solution
