Deep Papers Phi-2 Model
Feb 2, 2024
The podcast delves into the Phi-2 model, showcasing its superior performance compared to larger models on various benchmarks, especially in coding and math tasks. Despite its smaller size, Phi-2 outperforms Google's Gemini Nano 2 model. The discussion also covers the benefits of small language models over large ones, including trainability with less data and easier fine-tuning for specific tasks.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 3min
Comparison of Small Language Models and Large Language Models
02:46 • 2min
Training Small Coding Models with High-Quality Data Sets
04:59 • 24min
Discussion on Risks of Small Language Models and Tools for Local Deployment
29:14 • 5min
Exploring Local Model Inference and UI-Centric Tools
34:32 • 4min
Customizing Models and Extending Context Length
38:29 • 6min