Name: Disruptive Tech London - LLM Deep Dive!
Start: 2025-05-01T18:00:00+01:00
End: 2025-05-01T21:00:00+01:00
Location: Civo Tech Junction

Join us for a fulfilling evening at Disruptive Tech London!

We're bringing together experts to dive deep into the latest trends of Machine Learning, specifically Large Language Models.

While you learn and network, don't forget to treat yourself to some delicious food. It's the perfect blend of learning, great food, and connecting with fellow tech enthusiasts.

Mark it in the calendar for an evening filled with learning and enjoyable interactions.

Apply to be a future speaker [here](https://docs.google.com/forms/d/e/1FAIpQLSdRF49edtCVZeU-Wwlk1kx03dl7mO0YEZQuEMAtx61plCWapA/viewform?usp=sf_link).

Join our [Slack community](https://join.slack.com/t/disruptivetechmeetups/shared_invite/zt-2b24hklcy-owDR_2g8lztr~16zpWPXSg), follow our [LinkedIn](https://www.linkedin.com/company/disruptive-tech-meetups/).

**LOCATION:**
Civo Tech Junction, First Floor, 32-37 Cowper Street, Old Street, London

**AGENDA**
• 6:00 to 6:35 - Arrival, Drinks, Food and Networking
• 6:35 to 6:40 - Introduction to Disruptive Tech
• 6:40 to 7:10 - "Evaluation Driven Development for LLM Apps", Csongor Barabasi, Founder, Bonsai Labs
• 7:10 to 7:40 - "Exploring relaxAI", Ben Norris, AI Engineer, Civo
• 7:40 to 8:00 - Break
• 8:00 to 8:30 - "Anomaly Detection, Forecasting, and LLM Applications", Suyash Joshi, Senior Developer Advocate, InfluxData
• 8:30 to 8:50 - Networking
• 8:50 Onwards - Continue networking and discussions at "The Angel" Pub

**Information on the Speakers:**

**[Csongor Barabasi](https://www.linkedin.com/in/barabasicsongor/)** \- is the founder of Bonsai Labs\, a specialist Generative AI firm that partners with startups\, scaleups and PE\-backed enterprises to help them turn AI into new revenue\, competitive advantage or back\-office efficiency without extra headcount\. He's at the forefront of LLMs\, having seen over 10 industry applications of GenAI past year alone\. Previously he was Head of Engineering at Weezy\, a quick\-commerce delivery startup that grew to Series B and 400\+ headcount\, and he holds a B\.S in Artificial Intelligence\.

**[Ben Norris](https://www.linkedin.com/in/benjamin-norris-83348b187/) -** Info coming soon

**[Suyash Joshi](https://www.linkedin.com/in/suyashj/)** is a senior software engineer and accomplished developer advocate at InfluxData. His career spans leading pivotal projects at Oracle and RingCentral in the past. Holding both a B.S. in Computer Science and an M.A. in Game Design, he seamlessly blends technical expertise with a flair for creativity. Driven by his passion, he nurtures and hosts developer events in London, delivering sought-after keynote speeches and participating in hackathons worldwide. Apart from his day job, Suyash Joshi is a magician and member of the prestigious Magic Circle in London, crafting performances that ignite wonder, joy, and inspiration.

**Information on the talks:**
Talk 1 - Nowadays it's easier than ever to build AI applications, so companies often get to a quick "wow" effect during demo, then launch that same application to production and issues start pouring. They keep adjusting the prompt in the hopes of better outcomes, but this just leads to an endless rut of patching. But, they have been doing TDD and writing tests for a long time for their software projects, so why did they decide to skip this step for our LLM app? In this talk will do a deep dive on what does Evaluation Driven Development mean in the context of LLM apps, how does it work in practice, and what are the roadblocks to cross to get your organization to adopt this practice.

Talk 2 - relaxAI is a pioneering UK-based AI assistant that prioritizes the privacy and sovereignty of your data. Relax recently became the first UK based AI tool to host and operationalise Meta's latest family of Llama models. In doing so, it has achieved a significant performance boost and introduced exciting new features such as native multimodal support and a substantially expanded context window. This presentation will provide an update on Relax AI's current position in the AI landscape, and outline future developments to look out for.

Talk 3 - Learn how to use time series databases like InfluxDB with machine learning libraries for real-time monitoring, anomaly detection, and forecasting. We’ll demo an IoT use case using a Raspberry Pi and sensors to show live data analysis. We will also touch upon LLM based time series models and compare and contrast various approaches to doing anomaly detection.

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