What is model routing?
Model routing directs queries to the cheapest model that can answer them, reducing load on complex models and allocating resources effectively, as seen when a purchasing manager checks the purchase order table and the query is sent to a suitable model without compromising response accuracy.
A purchasing manager checks the purchase order table to find out why a specific order is delayed, and the query is sent to the cheapest model that can answer it, this is an example of model routing, which is the process of sending each request to the cheapest model that can answer it.
Definition of Model Routing
Model routing is a mechanism that directs incoming queries to the most suitable model, based on the model's capabilities and the query's requirements. This is done to optimize the use of resources and reduce costs. In the context of AsscherAi, model routing is used to send each request to the cheapest model that can answer it, without compromising the accuracy of the response.
The purchase order table is a critical component of the purchasing manager's workflow, and model routing ensures that queries related to this table are handled efficiently. By sending the query to the cheapest model that can answer it, the organisation can reduce the load on more complex models and allocate resources more effectively.
Difference from Model Selection
Model routing is often confused with model selection, but they are distinct concepts. Model selection refers to the process of choosing the best model for a specific task, based on factors such as accuracy and performance. Model routing, on the other hand, is concerned with directing incoming queries to the most suitable model, based on the model's capabilities and the query's requirements.
While model selection is a one-time process, model routing is an ongoing process that occurs every time a query is received. The purchasing manager's query about the delayed order is an example of how model routing works in real-time, directing the query to the cheapest model that can provide an accurate response.
Applications in a Large Organisation
In a large organisation, model routing can be applied to various scenarios, such as directing queries to different models based on the type of data being requested. For instance, a shift supervisor may check the maintenance log to find out when a specific machine was last serviced, and the query can be sent to a model that specializes in maintenance records.
The category manager may compare two suppliers to determine which one offers the best price for a specific product, and the query can be sent to a model that specializes in pricing data. In both cases, model routing ensures that the query is handled by the most suitable model, reducing the load on more complex models and improving overall efficiency.
By using model routing, organisations can also improve the scalability of their systems, as incoming queries can be distributed across multiple models, reducing the load on individual models and improving response times. For more information on how AsscherAi can help with model routing, visit our website.
Limitations of Model Routing
Model routing is not a solution for all types of queries, and it has its limitations. It is not suitable for complex queries that require the use of multiple models or advanced analytics. In such cases, a more sophisticated approach is required, such as using a combination of models or developing a custom solution.
Additionally, model routing requires a deep understanding of the organisation's data and workflows, as well as the capabilities of each model. This can be a challenging task, especially in large organisations with complex systems and multiple stakeholders. To get in touch with our team and discuss how model routing can be applied to your organisation, visit our contact page.
When Model Routing is the Wrong Choice
Model routing is not always the best approach, and there are scenarios where it may not be suitable. For instance, in cases where the query requires a high level of accuracy or precision, it may be better to use a more advanced model, even if it is more expensive. Similarly, in cases where the query requires real-time processing, model routing may not be the best choice, as it may introduce additional latency.
In such cases, a more tailored approach is required, taking into account the specific requirements of the query and the capabilities of the models. By understanding the limitations of model routing and when it is not the best choice, organisations can make informed decisions about how to handle their queries and optimize their systems.
Frequently asked questions
How does model routing improve query handling
Model routing improves query handling by directing queries to the most suitable model, reducing load on complex models and improving response times.
What is the difference between model routing and model selection
Model routing directs queries to suitable models, while model selection chooses the best model for a task based on factors like accuracy and performance.
Can model routing handle complex queries
Model routing is not suitable for complex queries that require multiple models or advanced analytics, requiring a more sophisticated approach instead.
How does model routing affect system scalability
Model routing improves system scalability by distributing incoming queries across multiple models, reducing load on individual models and improving response times.