

Open Source LLMs with Simon Willison
36 snips Jan 17, 2024
Simon Willison, a practical expert on open source large language models (LLMs), brings clarity to their workings and limitations. The podcast explores misconceptions surrounding open source AI, ethical concerns of open source training, and democratizing access to LLMs. It also discusses the impact of AI on various professions and the benefits of open source in search engines. The hosts express admiration for Simon and delve into the complexity of the web three and crypto space. Simon's work with Data Set, an open source tool for exploring and publishing data, is also discussed.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11
Introduction
00:00 • 2min
Open Source AI and the Misconceptions Surrounding It
01:34 • 22min
Open Source AI: Training Data and Ethical Concerns
23:04 • 17min
Exploring Behaviors of Chat TPT and An Investigation into Seasonal Variance
39:52 • 2min
Open Source Language Models: Democratizing AI Access
41:45 • 19min
The Unforeseen Threat of AI on Different Professions
01:00:23 • 2min
Utilizing Perplexity and Chat GPT for Improved Search Results and the Growth of a Startup Search Engine
01:02:52 • 4min
Importance of Open Source and Dating a Skyline Image
01:06:49 • 2min
Training Conversational Skills for Politeness in AI
01:08:41 • 19min
Discussion on Simon's Contributions and the Complexity of the Web Three and Crypto Space
01:27:36 • 2min
Data Set: Exploring and Publishing Data
01:29:08 • 4min