

EP71: Llama 3.1 Special Edition + GPT-4o Mini Fine Tuning & Chris's AI Poker Apology
14 snips Jul 24, 2024
Exploration of Llama 3.1 models, optimization of context input, fine-tuning GPT-4o Mini, Chris's AI poker apology, and the impact of Llama 3.1 release in the AI community. The podcast delves into the capabilities of Llama 3.1 model with 405 billion parameters, comparisons with other leading models, and discussions on guiding AI models with stacked blocks of information. Additionally, it covers the challenges in AI poker, multimodal integration in AI workspaces for organizations, and reflections on technology challenges in the industry.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 4min
Llama 3.1 Model Release and Partnerships
03:33 • 5min
Exploring the Impressive Capabilities of Llama 3.1 AI Model and Comparisons with Other Leading Models
08:05 • 21min
Guiding AI Models with Stacked Blocks of Information
28:42 • 14min
Discussion on Boom Factor Scoring System and Llama 3.1 Release in the AI Community
42:14 • 3min
Discussion on Multimodal Integration in AI Workspaces for Organizations
45:32 • 2min
Fine-tuning GPT-40 Mini and Challenges in AI Poker
47:09 • 13min
Reflecting on Model Releases and Technology Challenges
01:00:03 • 3min