Exploring the Cutting Edge of AI in Hull
Data Stream UK’s founder and managing director, Elliot Fearn, recently delivered a highly technical and insightful session as part of “The Tech Sessions” in Hull. This event provided local developers, data engineers, and technology enthusiasts with a deep dive into the advanced techniques involved in building and deploying Retrieval Augmented Generation (RAG)-based Large Language Models (LLMs).
A Hands-on Approach to AI
Elliot’s session, titled “Building a RAG-Based LLM with Vector Databases: A Technical Deep Dive,” guided attendees step-by-step through creating sophisticated AI systems. He explored the technical architecture of RAG-based LLMs, demonstrated practical use-cases, and highlighted essential tools such as LangChain and Astra DB for developing robust, queryable AI applications.
A key focus of the session was clarifying the fundamental differences between standard LLMs and RAG-based LLMs. Standard LLMs typically rely solely on pre-trained knowledge, which limits their ability to provide specific, current, or contextually relevant information. In contrast, RAG-based LLMs integrate external databases, allowing real-time retrieval of relevant information. This approach addresses the common business challenge of providing accurate, context-sensitive responses, greatly enhancing the AI’s utility.
The problem businesses face with standard LLMs is their restricted accuracy and limited domain-specific knowledge. RAG-based models solve this issue by dynamically accessing external data sources through vector databases, thereby significantly improving the precision, reliability, and usefulness of the model’s outputs. Consequently, this ensures businesses can leverage tailored insights, make informed decisions, and provide highly personalized customer interactions.
Participants gained practical knowledge on:
- Designing efficient retrieval systems using vector databases
- Implementing LangChain for streamlined AI development
- Leveraging Astra DB for scalable vector search operations
- Best practices in optimizing and deploying production-ready AI models
Elliot Fearn – AI Innovator
Elliot’s expertise in Artificial Intelligence and Data Science was developed during his academic journey at the University of Hull. His professional experience spans significant roles in robotics at Bosch and consumer electronics at Google, where he tackled complex data challenges.
Today, through Data Stream UK, Elliot works alongside various industries, helping businesses unlock their potential with powerful, tailored AI solutions ranging from strategic planning and infrastructure to advanced analytics and machine learning.
Ongoing Commitment to Technical Excellence
The Tech Sessions provided a unique platform for knowledge exchange and technical growth within Hull’s thriving tech community. Elliot’s interactive presentation showcased not only Data Stream UK’s commitment to driving innovation but also its dedication to fostering local technical talent and AI expertise.
At Data Stream UK, we specialize in operationalizing AI solutions for our clients. Our comprehensive suite of services includes strategy development, infrastructure setup, AI model deployment, and advanced analytics. With all the essential tools, expertise, and practical experience, we empower businesses to realize significant value from AI, enhancing decision-making, efficiency, and customer engagement.
A special thank you to John from The Tech Sessions for inviting Data Stream UK to present. We look forward to attending future sessions and engaging with other insightful speakers and experts.
