Generative AI and large language models (LLMs) have the potential to fundamentally change how we create automated protocols for the life sciences.
In this webinar, we’ll present our work fine-tuning models and building user interfaces to support reproducible AI-powered protocol generation for Opentrons robots. By interfacing with the LLM, researchers can describe experimental protocols in plain language, allowing the system to intelligently interpret and generate the corresponding automated protocols that leverage Opentrons’ open-source Python Protocol API.
We’ll demonstrate the power of the model to suggest optimal parameters, troubleshoot potential issues, and adapt protocols based on specific experimental requirements.
