Executive Briefing: How Microsoft, Bayer, and Discovery Use AI on the Data You Can't Upload
Watch now | Bayer and Discovery Bank are teaching smaller models their private rules. LM Studio lets you test the first useful step on a laptop, and shows where the laptop stops being enough.
TL;DR
- Companies are fine-tuning AI models with proprietary data to handle sensitive information securely.
- Bayer uses fine-tuned models for complex crop-protection queries, reducing resolution time from days to seconds.
- Discovery Bank fine-tuned Azure OpenAI models to understand financial language and specific workflows, improving response times.
- Microsoft ensures customer data and fine-tuned models are not used to improve general foundation models without permission.
- LM Studio allows users to process sensitive documents locally on a disconnected laptop, avoiding data sharing with model providers.
- Local testing with LM Studio helps determine if a task is suitable for a laptop or requires an enterprise system.
- Fine-tuning models with user corrections and permissions can lead to vendor lock-in.