Author: Tars
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AI Alone: A Roadmap to Disaster? The Risks of LLM Jailbreak Explored
Large Language Models (LLMs) offer unparalleled capabilities in automating customer service operations, but over-reliance on AI can lead to critical decision-making errors across all sectors. The Risks of LLM Jailbreak In LLM-based systems, there’s a risk that manipulative queries could be used to exploit system vulnerabilities, potentially resulting in the unintended disclosure of sensitive…
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How Generative AI Helps in Understanding Customer Intent
Intent Detection is a critical feature used to analyze and identify underlying intentions behind customer queries. It matches these questions with the respective actions, making conversations more contextual, natural, and actionable. Consider the diverse nature of banking queries, from basic account opening inquiries to complex issues like transaction disputes or loan eligibility questions. Adding every…
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Generative AI Beyond Text and Images
People often think of Generative AI as just for making text and pictures, especially with tools like ChatGPT and Midjourney. But there’s more to it. This technology takes the form of “AI agents” to complete specific tasks in many everyday jobs. AI Agents – An Overview AI agents, or autonomous agents, are intelligent software systems…
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Are LLMs Just Hyped Search Engines?
LLMs like ChatGPT gained popularity due to their ability to provide a conversational experience. But isn’t that the same with search engines? Let’s take a look at how LLMs stack up against search engines: Operations LLMs are trained on massive amounts of data to understand complex text, recognize patterns, and generate human-like text. Whereas,…
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How does Generative AI work?
With tools like ChatGPT and Midjourney, Generative AI has taken off, showing its strength in making amazing visual art and interesting, detailed text conversations. What powers Generative AI? Generative AI is built on three components – Data: Data in Generative AI is like the life experiences and information our brains accumulate over time. Just as…
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Top 10 Use Cases of Generative AI in Claims Management
Experts predict that by 2030, Generative AI will handle 50% of all claims management tasks. This article explains how claims management workflows can improve with Generative AI. Applying for a claim An incident has caused a loss to the policyholder, say an accident or house fire. Here’s how it unfolds the old way : The…
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Top 10 Digital transformation Trends in the Insurance Industry
Modern-day customers are at a phase where they will readily favor companies that offer secure and convenient services when and where they need them. What does this mean for businesses in the insurance industry? It means the insurance market now has a greater demand for personalized solutions than ever. Be it tailored packages or customized marketing, customer-centric…
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5 Technologies to Improve Customer Experience
As digital transformation leaders focus on improving customer experience for their business, they often come across questions that seem hard to answer. This article offers straightforward answers to these common queries: How to get started? Begin by assessing your current customer touchpoints and pain points. Understand your customers’ needs and expectations. Prioritize areas for immediate…
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What to expect in 2017? — obviously over a bot!
If you thought 2016 was crazy, just you wait for 2017. A lot of what we saw last year was just a teaser for what we will see this year. Donald Trump will ACTUALLY become the President (He isn’t President yet) Self-driving cars will become a reality? (Maybe wishful thinking) And most importantly Game of…
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How to create a new convBot using Tars Bot Builder
We have finally released our convBot Builder and I wanted to take you through a quick tour of how you can get started with it. What this means : You can create your own convBots and deploy them right away. Let’s get started. In case you want to skip all the text, here is a video…
