Successfully transitioning from pilot studies to large-scale implementation is a pivotal challenge in realizing the potential of Generative AI.

-       Gaining insights into the critical considerations and strategies for scaling Generative AI solutions across organizations.

-       Learning how to address infrastructure, data, and compliance challenges when moving from pilot to production.

-       Discovering best practices for talent acquisition, training, and collaboration to ensure a smooth transition to large-scale implementation.

The rise of large language models (LLMs) such as OpenAI’s GPT-4 is a game-changer in the world of artificial intelligence and natural language processing.

This interactive workshop will dive into the inner workings of LLMs, demystifying their capabilities and exploring the wide array of available implementations (including commercial APIs and open source options) and potential security challenges that these come with. We'll showcase how businesses can safely capitalise on the immense power of LLMs to tackle complex challenges and unlock new opportunities.

 Learning objectives:

• Master the fundamentals of LLMs and their transformative impact on the AI and NLP landscape
• Navigate the diverse range of LLM implementations, both commercial and open source, to pinpoint the optimal solution for your organisation
• Uncover real-world applications of LLMs for solving various business problems and fuelling innovation within your organisation
• Improving understanding of the security considerations for non-experts: delving into potential challenges with external-facing LLMs, permissions, abuse, copilots, and what is being done to mitigate these

By the end of the session, you’ll walk away with a solid understanding of the potential application of LLMs & their related safety considerations within your organisation and the technical expertise to integrate them into your business strategies.