Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 2min
Web 1.0 Pagination
02:07 • 2min
Phoenix LiveU: A Live Example of New Things
04:14 • 2min
Elixir: A Distributed AI Agent
05:59 • 4min
Elixir and Phoenix: The Future of Resilience
09:45 • 2min
Sean Moriarty: Elixir's Community Resident Expert
11:28 • 2min
The Journey of Elixir Into the Machine Learning Space
13:24 • 3min
How to Train a Model to Follow Instructions
16:39 • 4min
The Importance of Prompt Engineering in Chat GPT
20:45 • 4min
The Relationship Between Open Source and Private Research Practices
24:56 • 2min
The Benefits of Using Open Source Models
27:14 • 4min
How to Operationalize a Machine Learning Model
31:31 • 4min
The Challenges of Deploying Machine Learning Models in Python
35:20 • 3min
Axon Bubblebee: The Next Generation of Machine Learning
38:08 • 5min
Open Source Large Language Models
43:28 • 2min
The Legal Battle Over Machine Learning Model Weights
45:17 • 2min
How to Operationalize Machine Learning Workflows
46:51 • 4min