Customers Don’t Like Your Chatbot. Here’s How to Make Them Love It.
Blog post from Vectara
Customers are increasingly frustrated with chatbots due to hallucinations, poor recall, and general confusion caused by the limitations of Large Language Models (LLMs). To address these issues, companies must continually monitor their AI systems, implement strategies for A/B testing and quick iteration, and leverage hybrid search capabilities. Leveraging a platform like Vectara can provide access to LLM capabilities with a safe entry point, ensuring data privacy and compliance. By upgrading and optimizing chatbots, businesses can realize benefits such as enhanced user satisfaction, cost efficiency, increased conversion rates, strategic resource optimization, and future readiness.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 20 | 2,630 | 342 | 112 | -8% |
| AI Model Fine-tuning | 1 | 582 | 110 | 49 | +9% |
| RAG | 1 | 1,091 | 153 | 52 | +46% |
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