Maximizing AI for Collective Knowledge

This time we will touch upon the potential of LLMs and explore the art of knowledge retrieval in the AI era.
Our first presentation delves into the capabilities of LLMs, showcasing their inherent knowledge repository and customized knowledge retrieval mechanisms. In our second presentation, we will dive into how Netlight leverages the power of AI and Python to tap into the collective knowledge of their organization, bringing immense value to clients.

Don't miss this opportunity to gain insights into cutting-edge AI applications and real-world success stories.

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Agenda:

17:30 - 18:00: Doors open
18:00 - 18:10: Welcome
18:10 - 18:40: Unraveling the Potential: An Insight into Large Language Models and Knowledge Retrieval
18:40 - 19:10: Pizza & Refreshments
19:10 - 19:40: Unlocking Collective Knowledge: Netlight's AI-Powered Journey
19:40 - 20:30: Networking

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Presentations:

Unraveling the Potential: An Insight into Large Language Models and Knowledge Retrieval
Keven(Qi) Wang - Meno Data

Since the advent of ChatGPT, Large Language Models (LLM) have witnessed burgeoning interest, cementing their position as pivotal tools in addressing numerous contemporary challenges.
In this presentation, we will delve into three primary capabilities of LLMs:

• Inherent Knowledge Repository: LLMs are fortified with vast amounts of pre-processed data. Users can swiftly tap into this reservoir of information via chatbot interfaces.
• Customized Knowledge Retrieval: This forms the crux of our discourse today. With the aid of tools like LangChain, vector databases, and embedding models, we will demonstrate how to construct a chatbot tailored to your unique knowledge base, capitalizing on LLM's summarization prowess.
• Reasoning Mechanism: We will briefly explore this aspect, showcasing how LLMs dissect intricate issues to present actionable strategies. Further, we'll illustrate how platforms like LangChain can cohesively interlink these insights.

Join us as we navigate the expansive universe of LLMs and their transformative potential.

Speaker Bio:
Keven (Qi) Wang, a luminary in artificial intelligence and data science, boasts a rich tapestry of leadership roles across diverse industries. As the former CTO of Vionlabs, Keven spearheaded the vision for groundbreaking deep learning AI solutions in the media and entertainment space. At Curb Food, he established and scaled an engineering ecosystem, emphasizing data-driven decision-making. As H&M Group's Head of Machine Learning, Keven championed the growth of its global AI division, earning accolades for presenting pioneering AI strategies at esteemed tech summits.

Unlocking Collective Knowledge: Netlight's AI-Powered Journey
Jacob Hagstedt - Netlight

Jacob Hagstedt, a senior Netlight consultant from Stockholm, will talk about how we at Netlight use the power of AI and Python to harness the collective knowledge of Netlight to bring value to our clients in the best possible way.
Jacob will take you on a journey that started many years ago with simple word2vec vectorisation of slack questions as a naive baseline within our company up until today when the tool has created an internal eco-system of AI tooling working from within Slack to empower all of Netlights consultants out in the world, to bring value to our clients both via consultants, but also via our sales team..

Speaker Bio:
Jacob is a ML/Data/Infra Engineer with a long history of language models. He has used his expertise in areas like E-Commerce, Private Equity / FinTech, Industrial Tech, and more.
His experience with Python started back in 2009 and he hasn’t stopped since. If you hear the term "If it quacks like a duck, it is probably a duck" in the Netlight office you know Jacob is close. Before Jacob joined Netlight he started 2 startups, one within NLP & NLG , and the second one within Industrial Tech.

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About the event

Date: October 26th, 17:30 - 20:30
Location: Gallerian (Regeringsgatan 25, 111 53 Stockholm)
Directions: 3-minute walk from T-Centralen (Sergels Torg exit).
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 let us know by October 25th.
Food and drinks: Pizza & drinks will be provided. If you have any allergies, please contact us.
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.