Hi ,
With all the reports about the spread of misinformation and disinformation on social media, sometimes it feels like one of the biggest threats to democracy is technology. But no technology is inherently good or bad. It’s how you use it that matters. And just as technology has the potential to
harm democracy, it also has the potential to enhance it.
In the latest episode of Value Driven Data Science, I'm joined by software engineer and fractional CTO Vikram Oberoi to discuss how Vikram has been using generative AI and large language models (LLMs) to enhance people’s access to NYC council meetings through his work on citymeetings.nyc.
Highlights include:
- (00:00) Meet Vikram Oberoi
- (01:31) Overview of citymeetings.nyc
- (07:50) Vikram's journey into local politics
- (12:05) Technical aspects of citymeetings.nyc
- (18:41) Dealing with AI hallucinations
- (25:00) Understanding the different types of AI errors
- (26:05) Case study: Honeycomb's query feature
- (26:59) Reinforcement learning with human feedback
- (28:32) Choosing between Claude and GPT
- (31:42) The importance of context windows
- (40:31) Effective prompt engineering tips
- (46:11) Final advice for data scientists
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
