Phi-3-mini: Revolutionizing AI with Microsoft's Small Language Model
| Aspect | Details |
|---|---|
| Model Name | Phi-3-mini |
| Developer | Microsoft |
| Type | Small Language Model (SLM) |
| Parameter Count | 3.8 billion |
| Variants | Two variants with differing context lengths |
| Key Features | Instruction-tuned, optimized for resource-constrained environments |
| Performance | Surpassed benchmarks, outperforming models of similar and larger sizes |
| Applications | Language processing, reasoning, coding, mathematics, text classification, document summarization |
| Adoption Example | ITC's Krishi Mitra app |
| Comparison | Outperforms larger language models (LLMs) in specialized tasks |
| Impact | Enhances accessibility and efficiency in generative AI applications |