Journey into GenAI: Fine-Tuning Stable Diffusion and boosting CX with LLMs

The next meetup features 2 GenAI talks: (1) fine-tuning image generation models like Stable Diffusion, (2) the transformative impact of Large Language Models (LLMs) on customer service.

Agenda:
18:00 - 18:30: Doors open
18:30 - 18:40: Welcome
18:40 - 19:10: Fine-Tune Your Own Stable Diffusion Model - Tips and Tricks Included
19:10 - 19:40: Pizza & Beers
19:40 - 20:10: AI Tools in Action: Enhancing Customer Experience with LLMs at Polestar
20:10 - 21:00: Networking

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Fine-Tune Your Own Stable Diffusion Model - Tips and Tricks Included
Daniel Pleus - Data Scientist, Schibsted

Recently, models and tools like Stable Diffusion, Midjourney, and Dalle-3 have made significant strides in generating high-quality, hyper-realistic images. The innovation doesn't stop with their out-of-the-box capabilities, though. Recent advancements have enabled the fine-tuning of these models on commodity hardware, unlocking new potential for personalized image generation.

In this talk, we'll embark on the practical journey of fine-tuning the Stable Diffusion model with an unexpected protagonist: Otto, Schibsted's plush octopus mascot. Using Stable Diffusion, we send him to faraway countries, place him in historical settings, or change his appearance.
You'll discover how Stable Diffusion operates, learn how to fine-tune it with techniques like textual inversion and LoRA, and receive many tips about the optimal settings. We will deep dive into prompts, guidance factors, denoising steps, and random seeds. By the end of this talk, you should feel comfortable conducting your own experiments.

Speakers Bio:
Daniel Pleus is a key member of Schibsted's AI Enablement Program as a Data Scientist Lead, where he assists over 60 Schibsted brands in discovering AI use cases and developing prototypes. His recent focus has been on Generative AI, including fine-tuning and deploying models. Before joining Schibsted, Daniel worked in various data and analytics roles and has an academic background in Economics.

Title: AI Tools in Action: Enhancing Customer Experience with LLMs at Polestar
Olga Larina - AI & Data Scientist @ Polestar Customer Experience Department

Join me for a presentation where I'll delve into the innovative toolkit that our team has employed to revolutionize customer service. This year, we’ve rolled out our first solution based on a Large Language Model (LLM), and let me tell you—it’s changing the game.

Starting with summarization and information extraction in February 2023, we’ve now set our sights on enhancing our Care Advisors' capabilities with AI that generates responses to customer cases with the precision and expertise of a seasoned professional. Our advisors were excited about our prototype reveal last year. It was clear they were all in, finding the AI support not just cool but also a true timesaver.

In my talk, I will reveal how tools like Langchain’s sophisticated models and chains, and LlamaIndex’s robust vector stores, empower LLMs to excel. Consider this a brief but insightful tour into the technology that’s making our customer service smarter, faster, and way more fun.

I am thrilled to guide you through the varied applications of AI tools that are proving to be incredibly relevant in today's tech landscape. The journey is just beginning, and the pace of development is nothing short of breathtaking. Every day brings new surprises and possibilities. Come and join my talk!

Speakers Bio:
At CX, our mission is to mine diverse data types to enhance customer experience, inform business strategy, and streamline operations. Our objectives span traditional data science, including tabular data analysis and natural language processing (NLP). This year, we're delving into the transformative realm of large language models, exploring their vast potential. Previously, I contributed as a Data Scientist at Nexer working on different types of projects including NLP, and CV (Computer Vision), and I have a background in software development, where I engaged in automation testing, analysis, and product ownership. My academic journey began with mathematics at a university in Russia.
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About the event

Date: March 19th, 18:00 - 20:30
Location: Shibsted’s Social Kitchen (Kungsbrohuset, Kungsbron 13, 111 22 Stockholm)
Directions: Right next to the central station.
Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge.
Capacity: Space is limited to 100 participants. If you are signed up but unable to attend, please change your RSVP by February 21st.
Food and drinks: Food and drinks will be provided.
Questions: Please contact the meetup organizers.

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Code of Conduct
The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.