

#12 - Phillip Carter (Principal PM @ Honeycomb) - All The Hard Stuff when Building Products with LLMs, Actual Results from Leveraging AI
7 snips Jun 14, 2023
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Introduction
00:00 • 4min
How Honeycomb Can Help You Analyze Data in Production
03:38 • 2min
The Importance of Natural Language Querying
06:06 • 2min
How to Use Tokens in Chat GPT
08:07 • 5min
How to Use Few Shot Prompting to Count Tokens
13:20 • 3min
How to Select the Right Example for Your Query Assistant
16:42 • 4min
How to Use LOMs to Increase Conversion Rates
20:53 • 5min
The Roadblocks to OpenAI's Nerfed GPT-4
25:46 • 1min
How to Build With LLMs
27:08 • 4min
Best Efforts: What We Think Is the Best Possible Input
31:28 • 4min
How to Use Query Assistants to Query the Database
35:19 • 5min
The Importance of Distance Functions in Natural Language Processing
40:18 • 4min
How to Use LLMs to Improve Performance
43:56 • 3min
The Challenges of Building With LM's
47:21 • 2min
How to Implement a Product Management System That Works for Your Company
49:21 • 2min