# Announcing the AI Engineer Network

Benjamin Dunphy, Software 3.0, LLC | AI Engineer Summit 2023 | 07:44

Source: https://www.youtube.com/watch?v=dQmseZ6kz8w
Channel: AI Engineer (https://www.youtube.com/@aiDotEngineer). Summarised by AIE Talks.
Page: https://aietalks.com/talks/announcing-the-ai-engineer-network
Published: 2023-10-23
Tags: embeddings, open-source

## TL;DR
- Network's AI-enhanced matching uses large language models to connect attendees with people who can help solve their stated problems.
- The Network event app includes the summit schedule, expo partners, nearby places to eat and drink, and other event information.
- AI Engineer is open-sourcing both the Network event app and its matching algorithm for use at events around the world.

## Summary
Benjamin Dunphy welcomes engineers, founders, sponsors, partners, colleagues, and friends to the AI Engineer Summit 2023. He describes the attendees as experienced software engineers who are experimenting with, shipping, or founding AI-enhanced and AI-native products. He then introduces Network, the summit's mobile app, which includes the schedule, expo partners, nearby restaurants, bars, cafes, and other event information. The new AI-enhanced matching feature uses large language models to match attendees with people who can help solve problems described in their profiles. At the time of the announcement, matching is limited to people attending the summit in person. Dunphy also announces that AI Engineer is open-sourcing the event app and the matching algorithm. He names Simon Sturmer, Swyx, Dscope, and Supabase as contributors or infrastructure partners, and points attendees to the public repository.

## Key ideas
### The summit brings together people already building AI products
[00:14](https://www.youtube.com/watch?v=dQmseZ6kz8w&t=14s)
Benjamin Dunphy opens the summit by welcoming engineers, founders, sponsors, partners, colleagues, and friends. He says the event has two days of stage content from founders and engineers in the new AI engineering industry. He describes the selected attendees as experienced software engineers who are actively experimenting with AI products, shipping them to production, or founding AI-enhanced and AI-native apps and companies. He asks attendees to remember that background when they interact with one another, while also acknowledging people watching the livestream.

### Network already contains the information attendees need during the event
[05:01](https://www.youtube.com/watch?v=dQmseZ6kz8w&t=301s)
Dunphy describes Network as the summit's conference mobile app. It contains the conference schedule and a full list of expo partners. It also recommends restaurants, bars, and cafes within walking distance of the venue, along with other event information. He says many attendees have already downloaded and used the app during the summit. The app provides the base for the new matching feature, which is intended to improve the conversations attendees are already having at a conference focused on a specific technical area.

### AI-enhanced matching connects people through the problems in their profiles
[05:23](https://www.youtube.com/watch?v=dQmseZ6kz8w&t=323s)
Network's new AI-enhanced matching feature uses what Dunphy calls a generative matching algorithm. He explains the term plainly: the team uses large language models to match attendees with the right people. An attendee can write down the problem they want solved in their Network profile. The matching system then connects them with people who may help with that problem. Dunphy says the feature is currently limited to people attending the AI Engineer Summit in person, and directs attendees to ai.engineer/network to download the app.

### The event app and matching algorithm are being released as open source
[06:12](https://www.youtube.com/watch?v=dQmseZ6kz8w&t=372s)
Dunphy announces that Network is open source, including both the event app and its matching algorithm. The stated goal is to provide a simple but powerful mobile event experience for attendees at events around the world. The team also hopes the matching algorithm will help connect people at those events. He directs viewers to ai.engineer/network and to the GitHub repository at github.com/ai.engineer/network. This changes Network from a summit-specific application into software that other event organizers can access and adapt.

### The project names its people and infrastructure partners
[06:37](https://www.youtube.com/watch?v=dQmseZ6kz8w&t=397s)
Dunphy credits Simon Sturmer as the lead engineer for the mobile app and credits Swyx with the generative matching algorithm. He also names Dscope as the authentication infrastructure partner. Supabase provided the database and PG Vector. These acknowledgements make clear which parts of the system the announcement covers: the mobile event experience, the matching logic, authentication, and the database layer. He invites attendees to speak with the team about PG Vector outside the presentation.

## Notable quotes
- "So, you're one of 500 people who were selected to attend the inaugural AI Engineer Summit." (03:59)
- "Using our generative matching algorithm, which is a fancy way of saying we use LLMs to match you with the right people, we can match you with people who help to solve your stated problems." (05:23)
- "We are pleased to announce that we are open-sourcing Network, both the event app and the matching algorithm." (06:12)
- "Our goal is to provide a simple, yet powerful, mobile event experience for attendees at any event around the world." (06:37)

## Tools & references mentioned
- AI Engineer Summit 2023
- Network
- AutoGPT
- Supabase
- Fixie
- Microsoft
- OpenAI
- Cloudflare
- GitHub
- Latent Space
- Dscope
- PG Vector
- Simon Sturmer
- Swyx
- Toran

## Who should watch
- You are building an event app and want a reference point for schedules, partner listings, venue recommendations, and attendee matching.
- You want to understand how Network uses large language models to match people based on problems they describe in their profiles.
- You are interested in the open-source Network repository or the infrastructure choices named in the announcement, including Supabase, PG Vector, and Dscope.

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