Most AI talks stay on the surface. This session looks underneath. Informal and friendly tech talk with networking afterwards at the pub.

Who am I?

Hi, I’m Gabriele — a data scientist and AI researcher. I run small, independent AI events in London as a volunteer. You can read more about my work here: 👉 https://www.linkedin.com/in/gabrielemonti/ Since I’m not sponsored by any company, I ask for a small contribution to cover the cost of the venue. please purchase tickets on https://luma.com/eulq7drh You can pay directly on Luma, or message me on LinkedIn if you prefer another option.

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LLMs are not neutral, and the bias doesn’t just come from training data — it also comes from the embeddings that power every RAG and agent system. Alongside the embedding experiments, I’ll also walk through a few core ideas from my slide deck: how majority-class effects work, how model architecture shapes bias, where guardrails fail, and why even simple data distributions can push models toward predictable errors. It’s a small dose of data science behind the scenes, enough to understand why these biases appear before we even get to the embeddings.

Then we’ll dive into a set of experiments comparing several popular embedding models (MPNet v1/v2, MiniLM, DistilBERT) and show how each one produces different gender associations — and how those differences silently affect retrieval, ranking, and agent behaviour. This is a practical session based on real slides and real cosine-similarity results — not theory and not a startup pitch.

What we’ll cover

• Where bias in LLMs actually starts
• How embeddings from different models contradict each other
• Why some modern models “overcorrect” and flip stereotypes
• How majority-class behaviour shows up in neural nets
• How embedding drift leads to retrieval drift (and unpredictable agents)
• Simple ways to test and monitor this in your own systems

Who it’s for

Anyone building with LLMs — data scientists, ML engineers, founders, or anyone curious about what’s happening under the hood. The event contains elements of maths and code but it is SUITABLE FOR ANYONE CURIOUS!

Format

Short talk + live examples + Q&A. Small room near Liverpool Street. PUB afterwards for networking Event is not free £12 to cover the venue. please purchase tickets on https://luma.com/eulq7drh