This paper examines the use of text message (SMS) interventions for health-related
behavioral support. It first outlines the historical progress in SMS intervention research …

Large language models (LLMs) are susceptible to a variety of risks, from non-faithful output
to biased and toxic generations. Due to several limiting factors surrounding LLMs (training …

Large Language models (LLMs) are rapidly being adopted for tasks such as text
summarization, in a wide range of industries. This has driven the need for scalable …

Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are
facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) …

In the burgeoning field of Large Language Models (LLMs), developing a robust safety
mechanism, colloquially known as" safeguards" or" guardrails", has become imperative to …

The global mental health crisis underscores the need for accessible, effective interventions.
Chatbots based on generative artificial intelligence (AI), like ChatGPT, are emerging as …

Guardrails have emerged as an alternative to safety alignment for content moderation of
large language models (LLMs). Existing model-based guardrails have not been designed …

Foundation Model (FM) based agents are revolutionizing application development across
various domains. However, their rapidly growing capabilities and autonomy have raised …

Generative AI holds the promise of enabling a range of sought-after capabilities and
revolutionizing workflows in various consumer and enterprise verticals. However, putting a …

Large language models (LLMs) have shown exciting potential in powering the growth of
many industries, yet their adoption in the power electronics (PE) sector is hindered by a lack …