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Establish the right data foundation for successful LLMs

Wednesday 6th March

WEBINAR
Unravel the complexities of Large Language Models

Join us on Wednesday 6th March from 11 am as we explore the world of Large Language Models and showcase how you can adopt them within your organisation. Led by our Chief Technology Officer, Dr. Alastair McKinley – our LLM expert, this session is designed for businesses eager to leverage the latest in AI technology, as well as technical professionals seeking to deepen their understanding of LLMs’ capabilities and applications.

Learn how to establish the right data foundation for success with LLMs. Don’t miss this opportunity to gain valuable insights and practical knowledge on leveraging Large Language Models to drive your business forward. Whether you’re just scratching the surface or looking to deepen your technical expertise, this webinar will provide you with the information and tools needed to harness the power of LLMs.

Demystifying LLMs

Unravel the complexities of Large Language Models and understand their mechanics, from foundational models like GPT-3 to the latest advancements in AI.

Practical Applications

Discover how LLMs can transform various aspects of your business operations, from automating customer service to generating insightful data analytics.

Integration Strategies

Learn the best practices for integrating LLMs into your existing tech stack, ensuring seamless adoption and maximized efficiency.

Ethical Considerations

Navigate the ethical landscape of AI with insights on maintaining responsible AI use in your operations.

Register to attend
This webinar is the ideal opportunity for businesses eager to leverage the latest in AI technology, as well as technical professionals seeking to deepen their understanding of LLMs' capabilities and applications.
Your Host

Presented by Analytics Engines, Chief Technology Officer, Dr. Alastair McKinley. Alastair is responsible for technology strategy, solution architecture and innovation. Alastair gained his PhD from QUB in 2009 focusing on high-performance computing and algorithms used in telecommunications. He is interested in data modelling and data engineering in PostgreSQL and Python, NLP, graph analytics and AI-enabled data solutions. Analytics Engines empowers organisations with data and AI-driven insights designed to reduce complexity, optimise performance, and build intelligence.