Chat-TS introduces a novel model for intelligent analysis of time-series data alongside contextual text, enabling more comprehensive decision support across multiple domains.

• Integrates multi-modal reasoning capabilities for analyzing both quantitative time-series data and qualitative textual context
• Addresses critical limitations in current time-series models that struggle with contextual interpretation
• Offers significantly enhanced analytical capabilities for complex data scenarios requiring both numerical and linguistic understanding
• Designed for cross-domain applications including healthcare, finance, and energy sectors

Healthcare Impact: Enables sophisticated analysis of patient vitals and medical time-series data alongside clinical notes, potentially improving diagnosis accuracy, treatment monitoring, and clinical decision-making for healthcare professionals.

Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data