AI Signals #23 Reasoning Models, Scaling Workloads, and Beating Bias

Join us at Civo Tech Junction on May 27th for an evening of talks about applied AI. As ever we'll be hosting an evening of talks, food, and conversation with ML and AI industry pros.

We are shuttering our Meetup group later this year, please sign up to our calendar on Luma to avoid missing out on our future events.

Please note you will be unable to enter the venue before 6.30pm.

RSVPs will close 24 hours before the event, you may be unable to register after this time but you can still watch online.

If you can't join us in person you can watch remotely via our YouTube channel.

Agenda

06:30pm - Doors open, food and drink served

07:00pm - Welcome

07:05pm - Chaitanya Pathak, Leads by Analyttica "The Evolution of Reasoning from System 1 to System 2 Thinking in Large Language Models (LLMs)"

The shift from System 1 to System 2 thinking is essential in overcoming some of the inherent limitations of current LLMs, such as susceptibility to bias, overgeneralization, and errors in complex tasks that require nuanced understanding or multi-step reasoning. In this session, we will explore how LLMs are transitioning to more sophisticated forms of reasoning, including how they handle ambiguous queries, adapt to novel contexts, and generate more thoughtful, context-aware responses.

07:45pm - Break

08:00pm - Ben Gamble, Ververica "Scaling AI workloads with Flink."

Ben’s talk will run though why Flink is a great tool for handling AI powered services and especially Agentic systems. He will talk about data, events, and semantics.

08:40 - Damien Jade Duff, Daemon "Beyond multi-agent systems: well-designed AI systems delivering value"

Multi-agent systems are currently trending and they do have their uses and an interesting future, but equally they are being thrown with little thought at problems for which modern AI approaches that have been carefully designed and well-tested. Here I give our experience of use cases where we have used good practice and wit to orchestrate LLMs for use cases around knowledge distillation, data extraction, and controllable customer-facing solutions.

09:00pm - Wrap up, drinks at Angel London

Our hosts may require that we provide a list of all attendees, please ensure that you register with a name that matches your government issued ID or bank card: if you do not we cannot guarantee you entry to the building.

Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available.