Newton Insights has introduced a revolutionary cannabis-specific AI model, setting a new standard for the industry. This domain-trained Large Language Model (LLM) is built on over 400 peer-reviewed studies and has generated 160,000 expert-level Q&As, providing instant, science-backed answers to complex extraction and formulation questions. The model boasts an 83.6% accuracy on scientific benchmarks, significantly outperforming general AI models like GPT-4 and Claude 3 in cannabis-specific tasks.
The AI model is designed to bridge the gap between academic theory and practical application, offering cannabis operators a tool that combines scientific rigor with real-world operational insights. With features like optimization of extraction parameters, waste reduction, and strain-to-yield decision guidance, the model promises to enhance efficiency and productivity in cannabis operations.
Looking ahead, Newton Insights plans to integrate this LLM into a full-stack Vertical Software AI platform. Future enhancements will include real-time process analytical data and a physics-based Digital Twin, aiming to create a fully autonomous feedback loop for cannabis operations. This development marks a significant leap forward in the application of AI within the cannabis and psychedelic industries, potentially transforming how businesses approach extraction and formulation challenges.
