

Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
17 snips Apr 20, 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
Introduction
00:00 • 4min
The Importance of Attention in Recurrent Neural Networks
03:32 • 1min
The Importance of Attention
05:01 • 2min
The Importance of Scalability in Neural Networks
06:35 • 2min
The Future of State-Space Models
08:26 • 2min
The Importance of Saturating Compute
10:29 • 2min
Transformers: A Multi-Layer Perception Work
12:24 • 2min
The Future of Large Language Models
13:58 • 2min
The Future of Language Models
15:46 • 3min
How to Fine-Tune a Model to Respond to Commands
19:13 • 2min
How to Measure Academic Data Set Performance
20:58 • 3min
The Need for a Scaling Breakthrough for Large Language Models
23:40 • 2min
The Importance of Code Generation
25:44 • 2min
Cohere's Position in the Landscape of Companies Building and Selling Large Models
27:30 • 3min
GPT-3: A Cloud-Agnostic Platform for Data Privacy
30:33 • 2min
The Importance of Open Source Models
32:41 • 3min
The Importance of Large Language Models
36:09 • 4min
The Future of Social Media
40:00 • 2min
The Future of Chat Interfaces
41:47 • 2min
The Pros and Cons of Building a Company in a Different Way
43:53 • 2min
The Future of Foundation Models
45:56 • 3min
The Importance of Sensitivity in Machine Learning
48:37 • 3min