Fixing Broken Chatbots with Generative AI Help

Let’s Fix Chatbots: Generative AI, Can You Help Me?

Virtual assistants have been the talk of the town for a while now. However, most users and C-suite executives are still skeptical about the outcomes it can achieve. A whopping 71% of companies have invested in offering a chatbot, but only 16% of US online adults use chatbots often to get help. Source – Forrester For almost a year now, ChatGPT’s strengths have been damaging regular chatbots’ reputations even more. At first glance, the generative AI wave makes all the virtual assistants built so far look stupid, to say the least. Why not just leverage the god-like capabilities of a system trained on an enormous corpus of data and power conversations and never deal with a support ticket again? LLMs are great, but they come with a disclaimer, and challenges like hallucinations, PII leakage, and more are well-documented now. To break through this, the organization leaders need to understand that building the perfect virtual assistant is a mix of brains, technology, strategy, and analytics. Watch this webinar wherein Vishal Sharma, CTO, SearchUnify, and David Truog, Forrester VP, Principal Analyst discuss: What do companies need to do differently to create more effective chatbots? What is the relevance of generative AI to organizations’ chatbot efforts? What is the future of conversational experiences beyond just chatbots? Additionally, hear SearchUnify’s take on how the combination of storyboards and flow-based chatbots, paired with frameworks like FRAGTM , can unlock unprecedented potential.

Chatbot Effectiveness: Leveraging LLMs for Superior Virtual Assistants?

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Building more effective virtual assistants requires a mix of brains, technology, strategy, and analytics

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Generative AI can significantly improve the performance of chatbots in terms of accuracy, empathy, and user satisfaction if used correctly.

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