In the evolving landscape of Generative AI, Large Language Models (LLMs) like OpenAI's ChatGPT, Google's Gemini, and Meta's LLaMA are everywhere, fueling a wave of innovation and experimentation across industries.

It's hard to miss the hype surrounding these technologies. However, many organisations are struggling to adopt them due to: a lack of AI strategy, security and privacy issues, regulatory compliance and concerns about transparency or accountability. For those using AI, it's often limited to tasks like content creation, spelling or grammar checking and topic summarisation. While useful, these applications barely scratch the surface of what LLMs can truly offer.

In this session we will explore some real-world use cases that can enhance your business, including:

- Customer Service Automation: Leveraging LLMs to provide 24/7 customer support, reducing response times and operational costs.
- Predictive Analytics: Using LLMs to analyse historical data and forecast future trends, helping businesses make informed decisions.
- Training Assistants: Using the power of LLMs to solve complex issues and accelerate employee learning

While the above use cases can offer significant potential, there are inherent risks in their deployment. We will discuss real-world challenges, such as sensitive data exposure and privacy concerns, and explore strategies to overcome them.

Don't miss this session to explore how LLMs can be safely adopted into your business to drive future innovation and growth. 

All are welcome! Our events are inclusive and of course, refreshments are included🥂🍕

Speakers Include:

Paul Wye - Principal Delivery Consultant
Alex Woodhead - Principal Software Engineer
Joe Batt - Principal Test Engineer