AI Applications and Local Model Solutions
An AI-assisted software development process, an in-app AI assistant, local transcription of meeting recordings with Whisper without data leaving the premises, and image processing samples.
Challenge
Businesses that want to benefit from AI have valid concerns about sending sensitive data to external services. Using AI in a controlled and efficient way during software development also requires a clear process.
Solution
These samples use a software development process based on multi-agent orchestration that distributes tasks between cloud and local models. An AI assistant infrastructure that can be added to business applications is included. Meeting recordings are transcribed and analysed locally with Whisper, without data leaving the premises. Image processing on camera footage is also part of the scope.
Key features
- LLM and multi-agent orchestration
- Task distribution between cloud and local models
- In-app AI assistant infrastructure
- Local meeting transcription with Whisper
- Image processing
Technologies
- LLM
- Ollama
- Whisper
- Python
- C#
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