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Details

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD - IMPORTANT: LOCATION UPDATED! Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. *** As always, there'll be free food & drinks, generously provided by our host, Man Group. ***

Main Talks

The Power of Connection Dan Keeley

In a world of fractured data, heroes rise to build bridges of standardization, unlocking collaboration, innovation, and a future where information flows freely, and connections empower change. Beyond the technical, it's a tale of the human spirit and the power of unity.

Deep Dive into Merging Large Language Models Tanay Mehta

As the popularity of Large Language Models (LLMs) surges, so does their size and the resources required to train them, making it more challenging to develop customized models. Model merging offers a straightforward solution to this issue. By enabling the combination of two or more LLMs into a single model, it presents a cost-effective alternative to pre-training an LLM from scratch while still achieving state-of-the-art performance. In this talk, we will dive deeper into the various techniques of model merging and provide a practical, step-by-step guide.

⚡ Lightning Talks 1️⃣ TBC 2️⃣ TBC

Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2023121210

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throwing the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year.

Here is what you can expect:

• Tech Talks: Immerse yourself in enlightening tech talks, exploring the latest advancements and trends in the dynamic field of AI, GenAI, LLMs. If you have a keen interest in speaking, we invite you to submit topics for consideration: Submit Topics
• AI Startup Showcase: Experience firsthand the cutting-edge innovations that AI startups bring to the table. Witness live demos showcasing groundbreaking solutions that are shaping the future.
• Networking / Happy Hour Mixer: Unwind and celebrate the successes of the year in a relaxed happy hour setting. Enjoy drinks, nibbles, and continue networking in a festive atmosphere.
• Holiday Gifts: 'Tis the season of giving! Enjoy the festive spirit with surprises and holiday gifts to add an extra dash of joy to your AI journey.

Tech Talk: Why large language models are such dumb geniuses (And how better search can help.) Speaker: JP Hwang @Weaviate Abstract: In this session, we’ll dive into the world of large language models (LLMs) like GPT-4 and Llama. These AI tools are superhuman readers and writers, but also often produce outputs that are divorced from reality. So, how do we channel these abilities the right way, to help them act like proper geniuses that they are? The current state-of-the-art solution is Retrieval Augmented Generation (RAG), which combines search and retrieval with LLMs. You will learn what RAG is, and some best practices to get it working well. Whether you’re a tech enthusiast, a professional in the field, or just curious about AI, this talk will give you a fresh perspective on why search is making a big comeback in the world of artificial intelligence.

Tech Talk: How "Fill-in-the-middle" code generation in LLMs works Speaker: Tanay Mehta, Kaggle Grandmaster Abstract: Generating code in Large Language Models is not the same as left-to-right generation of the text. In this session, we will explore how LLMs are pre-trained to generate code with no architecture changes but just a simple dataset transformation! We will cover how traditional LLMs are trained and how this technique is different along with a practical coding example on how to use this in your own LLM pre-training.

Topics/Speakers: Stay tuned as we are updating speakers and schedules.

Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. We will have judges and attendees vote for projects, with 3 amazing awards (best of innovation, best of technology, popular vote). You are invited to apply here Community Showcase

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 10,000+ local or 300K+ developers worldwide.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (browse/search and join #london channel)