Welcome to our in-person ML monthly meetup, in collaboration with GDG (Google Developers Group) Cloud London. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers&peers developers, and win lucky draw prizes.

Pre-registration is required here: https://www.aicamp.ai/event/eventdetails/W2023061510

[RSVP instructions]

• Register at the event website. (full name and email is required for badges and check in)
• Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA
• Community on Slack for events chat, speakers office hour, sharing learning resources, job openings, etc... join slack (search and join the #london channel) *

Description: Join us for an engaging discussion on two cutting-edge topics: LLMs and how to get the most out of your Audio/Video Content.

This meet-up is a unique opportunity to connect with fellow AI enthusiasts, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in NLP, LLMs and AI Audio Pipelines, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation.

A big shout-out to our sponsor, Transparent (https://heytransparent.io).

Agenda (BST): * 6:00pm\~6:30pm: Checkin, Food/Snacks/Drink and networking * 6:30pm\~6:45pm: Welcome/community update * 6:45pm\~7:45pm: Tech talks * 7:45pm: Open discussion & Mixer

Tech Talk 1: AI Audio Pipelines Speaker: Adam MacVeigh, Data Scientist @News UK Abstract: How to get the most out of your audio and video content with transcription and Natural Language Processing.

Tech Talk 2: Building LLM Powered NLP Applications with Haystack Speaker: Tuana Celik, Developer Advocate @Deepset Abstract: In this talk we will take a look at Haystack, an open source NLP framework by deepset, and the current state of building NLP applications. We will look at challenges we frequently face using LLMs (such as hallucinations), and what we can do to mitigate them. We will also look at different applications of language models with various prompting implementations such as Agents, chat applications and more.