LLM London Sessions #8
**LLM London Sessions is back for round 8!** 🎉
Join us at NetMind AI for another evening of AI conversations, demos, and drinks. Whether you're building with LLMs, experimenting with prompts, or just AI-curious, pull up and hang out with other folks doing interesting things in the space. We'll have lightning talks, plenty of time to chat, and the usual good vibes.
Talk: From LLM to AI Solution: What We Are Building
The ChatGPT moment was pure magic—showcasing the vast potential of LLMs. But for enterprises, that magic alone isn't enough. The real challenge isn't the model; it's the secure integration of private data and the creation of an entire AI engine that works smoothly within their systems.
How do you move from a powerful but isolated chatbot to a trustworthy, measurable, and secure AI solution that drives decisive action?
In this talk, NetMind.AI will bridge this critical gap. We'll move beyond the model to demonstrate how we build AI as your reliable core infrastructure to deliver measurable results in weeks, not months.
Xiangpeng Wan is a dedicated AI Researcher currently serving at NetMind.AI, where he focuses on next-generation intelligent agents and natural language processing.
With a background spanning both academic research and applied development, Xiangpeng has published work on topics such as text-to-SQL models and neural-machine-translation improvements. He holds previous experience as a Research Scientist in NLP at ProtagoLabs before joining NetMind.AI, bringing deep technical insight into AI agent architectures and language-model applications.
Talk: Three Primitives for Decentralised Agency: How philosophical inquiry reveals what we build next
Mario’s talk, aimed at builders and engineers, explores how philosophical inquiry can shed new light on the questions we ask when designing AI systems. He introduces three areas of emerging focus for decentralised agency, alongside examples of problem spaces and startups gaining traction today. The talk offers a way of thinking rather than a set of directives, inviting technologists to engage with the developing Philosophy of AI and discover how deeper inquiry can shape their own directions.
Mario Siso is an Interdisciplinary Artist, Designer and Systems Engineer working at the intersection of Philosophy and AI Research.
Talk: Using LLMs to learn with branching maps
The talk will be a outline of what I see as the problems of LLM's for learning from a personal perspective, and having discussed with educators, how the project was a way of trying to address these issues, followed by an audience demo.
Tom Berman has a 1st Class Degree in Electronic Engineering and Cybernetics, Masters in Engineering for Sustainable Development. With 10+ years of professional software development experience. Built first NN (in C) in 2005 Researched scale free graphs, initially for database queries. Tom also runs an AI consultancy, building tools with the new capabilities LLM’s provide.
For the last 6 months I have been working on a solo project: https://mudg.fly.dev
This event is hosted and sponsored by NetMind AI.