What we're about
The AI Campus Berlin is a not-for-profit space where research, startups and corporates come together and collaborate on Artificial Intelligence projects.
This group will feature all public events happening in and around the Campus. From tech talks, workshops and expert circles to informal meetups, our goal is to build an open and collaborative community.
Upcoming events (3)
We all know that Data is the foundation for utilizing AI. Sure, we've heard "you've got to prepare your data" a million times. But how?
We will deep dive on which areas of data aggregation and preparation have to be covered when, and by whom. How to build an organization, that supports and ensures the process. And finally, how to turn a data flood into a usable data lake.
Join us at the AI Campus Berlin, or Online! RSVP here
IMPORTANT: This Meetup is a hybrid event.
- To join on-site, please sign up on this event’s page.
- To join online, please sign up here!
Two great speakers will give presentations on "Incorporating New Knowledge Into Language Models" & "Building a Domain-Specific Search Engine": Nils Reimers from co:here and Matthias Richter from ML6!
The doors will open at 6:30pm and the talks will start at 7:00pm. To coordinate the registration of remote participants and on-site participants, there are two separate meetup pages.
This page is for the registration of on-site participants. A separate page is for the registration of remote participants. Sign up here to join via Zoom!
Incorporating New Knowledge Into Language Models by Nils Reimers from co:here
Language models work well for many NLP tasks, but they have one big weakness: Each day passing since they have been pre-trained/fine-tuned, their knowledge becomes more and more obsolete. For example, the BERT model still thinks that Barack Obama is the current US president. Especially in semantic search this is a big issue, as we often search for the most recent events. In this talk, I will give an overview of how to include new knowledge into language models like BERT with a special focus on search. I will then present Generative Pseudo Labeling (GPL), an efficient method to adapt semantic search models to new domains & datasets.
Building a Domain-Specific Search Engine by Matthias Richter from ML6
Semantic search engines enjoy more and more attention and at ML6 we deal with a lot of different domains and datasets. In this talk, I will give some insights into practical use cases where semantic search beats classical lexical-based search engines. The latest version of the Haystack framework already integrated an implementation of Generative Pseudo Labeling (GPL). I will demonstrate how you can easily use GPL to adapt a dense retriever to any domain-specific dataset and build a semantic search engine on top. To this end, I will showcase a small demo that compares the results of different search approaches.
SalesPlaybook is back on Campus and this time it is all about Pricing! Pricing! Pricing!
Join this workshop focused on value based pricing, benchmark, price negotiations, pricing pilot projects, pricing customer success, and more.
Sign up for this in-person workshop and have the opportunity to hear from Manuel Hartmann and step up your pricing game!
SalesPlaybook was founded by Manuel Hartmann early 2019 after being frustrated about the lack of flexible, affordable, no bullshit Sales Acceleration Enablement on the market while he built up sales for a Zurich-based AI startup himself. Over the last 34 months, SalesPlaybook worked with 200+ B2B entrepreneurs to help them hit product-market-fit and accelerate their market traction without hiring expensive sales people (too) early on, resulting in +200% Year-on-Year growth.