Newton Insights Unveils Groundbreaking Cannabis-Specific AI Model

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 tailored to real-world cannabis operations. The model boasts an 83.6% accuracy on scientific benchmarks, outperforming general AI models like GPT-4 and Claude 3 in cannabis-specific tasks.

The AI model is designed to address the industry's challenge of navigating between academic theory and practical experience. By offering validated scientific inputs, it enables extraction teams to optimize parameters, reduce waste, and make informed strain-to-yield decisions. This innovation is not just a leap forward in cannabis technology but also a tool that could significantly enhance operational efficiency and sustainability in the industry.

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 pivotal moment for the cannabis industry, bridging the gap between scientific research and practical application.