NYC School of Data 2024
How citymeetings.nyc Uses AI to Navigate and Research NYC Government Meetings
Slides
I've published my annotated slides on my blog.
The talk recording is not yet available. I'll post it here when it is.
Resources
- Prompts used in citymeetings.nyc (context in slides)
- My speaker identification prompt (8k tokens of plain old English)
- My chapter extraction prompts (in code, but still legible -- uses Instructor)
- Blog posts
- Why you should regularly and systematically evaluate your LLM results (vikramoberoi.com)
- A UX-centric approach to navigating city council hearings with LLMs (vikramoberoi.com)
- Think of language models as a "calculator for words" (simonwillison.net)
- Misconceptions about large language models (simonwillison.net)
- Guides
- OpenAI's prompt engineering guide (openai.com)
- Tools & libraries I use
- TypingMind: the chatbot I use, easy to use across LLMs.
- Instructor: how I reliably get structured data from LLMs.
Follow me
- Threads
- Bluesky
- I write at vikramoberoi.com
Workshops and consulting
Level up your organization's use of large language models (LLMs)
I'm available for workshops for both non-developer and developer audiences.
Contact me at workshops@vikramoberoi.com.
Build your product and hire your founding team
I help early-stage non-technical founders build their product and hire their founding teams via my boutique consulting firm, BaxterHQ.
Contact me at vikram@baxterhq.com.