

The Evolution of AI, Large Language Models & Finding the Right Balance Between Research and Application - What's AI Episode 14
Jun 6, 2023
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Introduction
00:00 • 2min
The Importance of a PhD in AI Research
01:54 • 2min
Investing in Research Is Still Relevant
03:50 • 3min
The Future of Research in AI
06:43 • 3min
How I Worked at Facebook and Alibaba
09:25 • 3min
How to Train a Large Language Model to Understand the Web
11:59 • 3min
The Future of AI Research
14:32 • 4min
The Evolution of AI
19:00 • 3min
The Pros and Cons of Large Language Models
21:57 • 4min
The Future of AI
25:29 • 2min
How to Build AI Geniuses With Minos
27:50 • 4min
The Importance of Chaining Prompts and Requests in AI Models
32:00 • 4min
How to Reduce the Impact of Hallucination With AI
35:54 • 2min
How to Train a Powerful AI
38:04 • 2min
The Challenges of Building a Specialized Agent
39:59 • 3min
The Limits of Prompting
43:18 • 2min
How to Use mineOS to Improve Your Work
45:34 • 6min
The Beauty of the Grounding Layer
51:14 • 2min
The Future of AI
53:25 • 2min
The Biggest Challenge Facing the AI Industry
55:26 • 3min
The Future of AI
58:04 • 2min
The Future of Large Language Models
01:00:00 • 3min
MindOS: A Closed Beta Product
01:02:50 • 2min