Problem Statement:
At present, Wordflow lacks the capability to utilize self-hosted Language Models (LLMs), limiting users' flexibility in choosing or swapping models according to their specific needs or preferences.
Proposed Solution:
Integrating support for self-hosted LLMs within Wordflow would greatly enhance its functionality and utility. This enhancement would empower users to leverage a diverse range of models, adapt to evolving requirements, and potentially improve performance by selecting models tailored to specific prompt tasks.
Benefits:
Flexibility: Users can seamlessly switch between different models or select a specific model based on task requirements.
Customization: Allows users to fine-tune their experience by integrating custom or specialized models.
Scalability: Accommodates the rapid influx of new models, ensuring users can readily integrate them into their workflow.
Performance Optimization: Users can choose models optimized for specific tasks, potentially improving overall performance and accuracy.
Easy win would be to integrate with something like ollama, which exposes a standard api for a whole range of different models:
https://github.com/ollama/ollama
Problem Statement:
At present, Wordflow lacks the capability to utilize self-hosted Language Models (LLMs), limiting users' flexibility in choosing or swapping models according to their specific needs or preferences.
Proposed Solution:
Integrating support for self-hosted LLMs within Wordflow would greatly enhance its functionality and utility. This enhancement would empower users to leverage a diverse range of models, adapt to evolving requirements, and potentially improve performance by selecting models tailored to specific prompt tasks.
Benefits:
Flexibility: Users can seamlessly switch between different models or select a specific model based on task requirements.
Customization: Allows users to fine-tune their experience by integrating custom or specialized models.
Scalability: Accommodates the rapid influx of new models, ensuring users can readily integrate them into their workflow.
Performance Optimization: Users can choose models optimized for specific tasks, potentially improving overall performance and accuracy.
Easy win would be to integrate with something like ollama, which exposes a standard api for a whole range of different models:
https://github.com/ollama/ollama