MLOps London November 2024 - Talks on AI, Data, & MLOps

Livestream (to start at 6:30): https://seldon.wistia.com/live/events/sgzo0vx1v0
In Person Form: https://forms.gle/spdJTrz6V7YQ1Kth8
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MLOps London is back again in November 2024 with talks on all things ML. The plan, as usual, is to run another hybrid event so please come along in person if you're local or need an excuse to travel to London, or join us live otherwise.

⚠️ Don't forget to fill out the form above if you are coming to the in-person event. The venue needs the list of attendees to let you in ⚠️

AGENDA:
⏱️ 6:00 pm onwards - Doors Open
Small bites and non-alcoholic drinks will be available

⏱️ 6:30 pm - Kick off and Welcome

⏱️ 6:35 pm
What if your database could do real-time anomaly detection?
Tobie Morgan Hitchcock - CEO and Co-founder of SurrealDB

Like the shift from normal phones to smartphones, there is a shift happening from normal databases to smart databases. In this talk, we’ll explore what this shift means practically by going through a hands-on demonstration of how rapidly you can iterate on real-time anomaly detection when it’s all done in the database.

⏱️ 7:20 pm - Networking Break

⏱️ 7:45 pm
Retrievers, Rankers and Multi-Objective Balancers: Evolution of LLM Context Engines & Recommender Systems
Rishabh Mehrotra | Co-founder at Stealth Startup, ex-Sourcegraph, Sharechat, Spotify

This talk discusses the evolution of ML techniques used to power large scale recommendation systems, that have recently been used to power context engines of various LLM applications. This talk delves into the algorithms behind state-of-the-art candidate generators, rankers, and multi-objective balancing models. We highlight the design and evaluation challenges inherent in these systems and provide insights on grounding them based on the maturity of production system.

⏱️ 8:10 pm - 9:00 pm Final Questions, Wrap Up, & Networking

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⚠️ If you are attending in person please complete the registration form (link at the top of this description) ⚠️