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STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
Shubhi Asthana, Bing Zhang, Chad DeLuca +2
The rapid shift from stateless large language models (LLMs) to autonomous, goal-driven agents raises a central question: When is agentic AI truly necessary? While agents enable mul…
MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation
Basel Shbita, Farhan Ahmed, Chad DeLuca
Large language models (LLMs) have shown great promise in generating structured diagrams from natural language descriptions, particularly Mermaid sequence diagrams for software engi…
Backprompting: Leveraging Synthetic Production Data for Health Advice Guardrails
Kellen Tan Cheng, Anna Lisa Gentile, Chad DeLuca +1
The pervasiveness of large language models (LLMs) in enterprise settings has also brought forth a significant amount of risks associated with their usage. Guardrails technologies a…
OneShield -- the Next Generation of LLM Guardrails
Chad DeLuca, Anna Lisa Gentile, Shubhi Asthana +7
The rise of Large Language Models has created a general excitement about the great potential for a myriad of applications. While LLMs offer many possibilities, questions about safe…
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications
Shubhi Asthana, Bing Zhang, Ruchi Mahindru +3
The adoption of Large Language Models (LLMs) has revolutionized AI applications but poses significant challenges in safeguarding user privacy. Ensuring compliance with privacy regu…