Customer service has come a long way from the days of flickering switchboards and patchy phone lines. Today, contact centres field queries across multiple channels while harnessing smart tech to boost agent performance. Artificial intelligence now sits at the leading edge of this transformation – introducing large language models.
So what exactly are these clever creations and why do they matter? Let’s find out.
Demystifying Large Language Models
Large language models (LLMs) are a sophisticated type of AI system specializing in natural language processing. They’re ‘large’ because they’ve digested huge volumes of text data – often totalling billions of words. This enables them to understand requests typed or spoken in ordinary human language.
LLMs grasp patterns within this vast pool of text to determine probable sequences of words. So when you ask a question, they can formulate sensible responses by predicting the most likely word combinations. Their neural networks mirror the networks within our own minds that recognise speech and text.
Over time and with enough quality data exposure, LLMs learn the intricacies of human communication – including grammar rules, conversational patterns and even emotional cues.
How Do Large Language Models Help Agents?
Within customer service, LLMs empower agents by offering real-time guidance. As conversations unfold, the tech reviews context and suggests appropriate responses to reflect this.
So for tricky product or policy questions, agents can simply glance at their screen for accurate advice. There’s no need to memorise endless scripts or dig through knowledge bases. This cuts response times and boosts first-contact resolution.
As LLMs process more customer conversations, they continually fine-tune their understanding. Like a seasoned agent, they learn to interpret industry lingo, spot priority issues and personalise interactions.
- Top benefits for contact centres include:
- Faster agent training and onboarding
- Consistent multi-channel support
- Dynamic responses tailored to each query
- Instant access to the latest information
- Seamless multilingual assistance
Early adopters of this technology, such as Cirrus, are already reporting exceptional results. But experts believe LLMs still have plenty more to offer customer service.
The Future with LLMs
Looking ahead, expect LLMs to facilitate empathetic and hyper-personalised experiences. Their advanced emotion detection capabilities will enable smarter sentiment analysis during calls. While data-driven predictive modelling will help agents preempt customer needs.
Omnichannel integration will also be on the agenda. Support interactions are increasingly spread across various platforms – including social media, web chat, self-service apps and voice assistants. LLMs will likely sit at the core of these channels, delivering a consistent yet bespoke service.
For contact centres, perhaps the greatest asset is an LLM’s innate ability to learn. With continuous model training, they will remain up-to-date with product launches, policy changes and evolving customer preferences. Agents can rest assured the guidance they receive reflects the latest developments.
Adopting Large Language Models
For many, integrating LLMs may seem intimidating given their cutting-edge credentials. However, leading providers have packaged the tech into user-friendly solutions for everyday agents.
Cirrus Copilot and Agent Assist are examples – intuitive agent-assistance interface powered by LLMs. Features include real-time suggestion cards with conversation prompts, facts about customer accounts and scripted policy information. Embedded training also means the system continually improves while remaining secure and compliant.
Other key advantages for contact centres include:
- Cloud-based access from anywhere
- Fast rollout across the team
- Detailed analytics on usage
- Ongoing customer sentiment monitoring
- Easy integration with existing systems
Ready to learn more? Contact the Cirrus team to explore how LLMs can guide your operation into an exciting new era of customer service. The future starts today!