Introduction to Model Evolution
Our content analysis models have evolved significantly since their initial release in 2021. This progression was driven through continuous improvements in neural architecture, training data quality, and algorithmic efficiency.
Key Generations Overview
| Model Version | Release Date | Accuracy | Latency |
|---|---|---|---|
| v1 | 2021-03 | 78% | 420ms |
| v2 | 2021-09 | 86% | 350ms |
| v3 | 2023-01 | 90% | 250ms |
| v4 | 2025-02 | 92% | 180ms |
Model Version Improvements
Version 1.0 (2021)
Initial model using standard LSTMs with 512 hidden size. Achieved baseline accuracy but required extensive preprocessing for optimal results.
Version 2.0 (2021)
Introduced CNN-based feature extraction with attention mechanisms, improved preprocessing pipelines, and better noise handling.
Version 3.0 (2023)
Switched to transformers with 1.5B parameters and positional embeddings. Added support for multilingual content and batch processing optimizations.
Version 4.0 (2025)
Current model with pruning and quantization techniques reducing footprint by 60% while maintaining accuracy. Added streaming capabilities and real-time adaptation.
Comparing All Generations
v1
- Basic language processing only
- English only support
v4
- 92% accuracy
- 150ms latency
Try the Latest Model
Experience the latest model in our sandbox. This example demonstrates text classification from version 4.0:
curl -X POST 'https://api.delphin.io/analyze' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"content": "This is a test document to analyze",
"model": "latest"
}'