This Day in AI Podcast
EP71: Llama 3.1 Special Edition + GPT-4o Mini Fine Tuning & Chris's AI Poker Apology
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.
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Quick takeaways
- Llama 3 models enhance context window size and architecture, pushing the boundaries of AI capabilities.
- Fine-tuning for GPT-40 offers customized AI solutions for predictive analysis and decision-making tasks.
Deep dives
Llama 3.5: A Breakdown of the Latest Models
The latest models in the Llama 3 family include the 3.1 billion, 70 billion, and the new 405 billion parameter model. These updates bring significant enhancements to the context window size and architecture, aligning the 405 billion model with a GPT-4 class model and opening new possibilities for AI capabilities. The announcement of these models received attention, especially due to the open weights focus, promising advancements in AI accessibility and performance.
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