Interconnects
Phi 3 and Arctic: Outlier LMs are hints
Apr 30, 2024
The podcast discusses the future of AI industry with outlier LLMs, focusing on Phi 3 and Arctic models. It explores trends in open mixture of expert models and the impact of synthetic data on small models. The episode also touches on the training techniques of the new models, including Arctic's sparse mixture of experts architecture and Phi 3's evolution in the LLM space.
09:46
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Quick takeaways
- Arctic model emphasizes resource-efficient training with a dense MOE hybrid transformer architecture.
- Phi 3 focuses on synthetic data and continuous refinement in model training strategies.
Deep dives
Innovative Model Releases: Phi 3 and Arctic Outlier LMs
The podcast highlights the recent releases of Phi 3 from Microsoft and Arctic from Snowflake, two innovative models that offer unique training techniques. Phi 3 focuses on synthetic high-quality data, while Arctic employs a sparse mixture of experts architecture, catering to coding-focused VRAM-rich inference audiences. These models provide a glimpse into the future of the industry, suggesting potential trends in the next 6 to 18 months.
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