What could be practical example of a Modular Monolith LLM Approach with Composability

 Here's a practical example of a Modular Monolith LLM Approach with Composability applied to a real-world scenario:

Imagine a large e-commerce platform that uses an LLM to handle various customer interactions:

Modular Design:

Task 1: Product Search: A module specifically trained for understanding natural language descriptions and matching them to relevant products in the catalog.

Task 2: Summarisation: A module that can summarise product descriptions or reviews for quick product overviews.

Task 3: Question Answering: A module trained to answer frequently asked questions about products, policies, or order status.

Task 4: Chatbot Interface: A module that interacts with the user, interprets their questions or requests, and routes them to the appropriate sub-module (search, summarization, Q&A) for processing.

Composability:

The chatbot interface module acts as the central coordinator, receiving user input and directing it to the relevant sub-module based on the user's intent.

The sub-modules (search, summarization, Q&A) communicate with each other through standardized interfaces to share information and complete tasks collaboratively.

For instance, the search module might return a list of relevant products, and the summarization module could then be called upon to provide summaries of those products for the user.

Benefits in this scenario:

Flexibility: New functionalities can be added easily by creating and integrating new modules. For example, a module for handling product recommendations could be incorporated without affecting the existing system.

Scalability: If the demand for a specific task (e.g., product search) increases, resources can be allocated to improve that specific module (search) without needing to overhaul the entire system.

Maintainability: If a bug is identified in the summarization module, developers can focus on fixing that module without affecting the functionality of other parts of the system.

Challenges to consider:

Complexity: Designing clear interfaces and ensuring smooth communication between modules requires careful planning and engineering.

Consistency: Maintaining consistency in the overall user experience across different modules can be a challenge.

Overall, the Modular Monolith LLM Approach with Composability allows the e-commerce platform to build a scalable and adaptable customer interaction system. By leveraging the strengths of both modularity and composability, the platform can address customer needs efficiently while providing a seamless user experience.

references:

Gemini