AI Engineer Summit 2023 Recap
Table of contents
- Conference
- Getting Started
- Materials from Talks and Workshops
- Interesting Companies/Projects in the Space
- Who’s Hiring
- And Beyond
I was fortunate to attend the inaugural AI Engineer Summit conference. It was a great experience, not only because it was my first time in the US, but specifically because the conference content was so packed with value. I especially liked the Sunday pre-conference workshop whose aim was to prep attendees for topics they will encounter at the conference. This was really useful, especially for a niche that’s evolving this fast.
Now that the dust has settled, I took some time to aggregate all the materials that have been shared so far, as well as some that I collected during the talks and workshops. Hopefully it will serve everyone who didn’t make it to the conference in-person or remote, or anyone wanting to learn about the space. Not everything is available here as I couldn’t attend all workshops and not all slides have been shared; I’ll try to update as other material is shared.
Conference
- Conference page: AI Engineer Summit
- Youtube livestreams:
- the Fixie.AI team has built a RAG app based on the livestream videos that you can chat with about the conference here
Getting Started Resources
A roundup of resources shared by attendees on what they would recommend as “getting started” guides:
- AI 101: the first prep workshop held at the conference
- AI Engineering 201: follow up to the 101 workshop, a whirlwind tour of more advanced topics
- Charles is working on Full Stack Deep Learning, here’s a longer video course: LLM Bootcamp 2023
- Eugene Yan: Patterns for Building LLM-based Systems & Products
- Prompt Engineering Guide
- Generative AI from Scratch (YT Playlist)
- Deep Learning AI has two great intro courses in collaboration with
- Scrimba has launched a short Javascript+Langchain course
Materials from Talks and Workshops
- Closing Keynote from Simon Willison: Open Questions for AI Engineering
- Learn from first principles how to fine-tune open-source Llama-2 models
- Writing Principles for Task-Tuned Prompt Engineering
- Building, Evaluating, and Optimizing your RAG App for Production
- Pydantic is all you need
- Building Reactive AI Apps with AI.JSX:
- Keynote with Swyx’ announcement of the smol project, along with “State of AI Engineering” survey
- Survey results and analysis
- most popular podcasts, newsletters and communities in AI currently:
- Building Context-Aware Reasoning Applications with LangChain and LangSmith
- Building Blocks for LLM Systems & Products
- Hidden Life of Embeddings
- Introduction to Agent Development with AutoGPT
- Tutorial
- Repo
- other links
- Best Practices for Prompt Engineering
- The Rise and Potential of Large Language Model Based Agents: A Survey
- Poetry Installation (a lot of us in the room had trouble with setup)
- AutoGPT Landing Page
- Repo
- pgvector to Prod in 2 hours
- Supabase
- Model Comparison Methods
- indexing with HNSW
- RLS guidelines
npx supabase db reset
proved to be very useful when in doubt- How Supabase incrased performance with HNSW indexing
- Streamline coding with GitHub
- Unlocking the Power of Vector Search: RAG for AI Chatbots and Image Search with CLIP
Interesting Companies/Projects in the Space
- Claude AI
- Weights & Biases: The AI Developer Platform
- Adept: Useful General Intelligence
- replit announced an evolution of their model
- smol
- LangChain
- Fixie.ai
- Lindy
- Roboflow: easily deploy computer vision models
- Fun and viral project by the team: like online pictionary, but you’re being graded by AI: paint.wtf - the AI powered drawing competition
- TypeChat: Microsoft project to get structured responses from LLMs
- v0 by Vercel: generate UI and code based on prompting
- Gradient AI
- Hex - Magical data tools for working with data together
- Prefect: Modern Workflow Orchestration
- Agent Protocol
- AI game: jschomay/lost-game-ai-asset-server: Generated AI scenes for the Lost game
- Datastax: cloud vector database
- intelligent shell companion: ricklamers/shell-ai: LangChain powered shell command generate and run CLI
Who’s Hiring
- conference page with job offerings
- LlamaIndex
- Abridge
- Fixie
- Move AI
- Sourcegraph
- Freeplay
- human signal
- Atypical AI
- Convex
- Voxel51
- Primer
- Deepset
- With Madrid
- Stimulus
And Beyond
- AI Engineer Word’s fair in 2024 has been announced, you can get an early ticket here
- There’s already huge interest and speculations on what the lineup might be: A Highly Speculative Agenda for the AI Engineer World’s Fair 2024
- The team also open sourced the conference app so if you’re working on an event, check out the repo (it contains an AI network matching algo!): aiDotEngineer/network: An open source event application with a Generative Matching Algorithm for connecting attendees
- Twitter list of AI Engineer attendees
- Wrap-up posts others have written: