Text search, Code search, Sentence similarity, Text classification
Ada 002 embedding is a powerful tool in natural language processing, offering remarkable efficiency in transforming text into numerical vectors. This model excels at capturing the nuanced relationships between words and phrases, enabling machines to understand language context with unprecedented accuracy.
The compact yet expressive nature of Ada 002 embeddings makes them ideal for a wide range of applications. From semantic search engines to content recommendation systems, this model enhances the performance of various AI-driven tasks. Its ability to represent complex linguistic information in a concise format is particularly valuable in scenarios where computational resources are at a premium.
Key features of Ada 002 embedding include:
Below you will find all supported platforms and the related CogniTech AI Credits costs.
Details | Input Credits | Output Credits | Fine-Tuning |
---|---|---|---|
Details | Input Credits | Output Credits | Fine-Tuning |
Version: All Region: eastus2 Context: 8,190 TPM: 350,000 RPM: 2,100 |
Chat: 0 / 1000 tokens |
Chat: 0.013 / 1000 tokens |
NA |
Version: All Region: uksouth Context: 8,190 TPM: 350,000 RPM: 2,100 |
Chat: 0 / 1000 tokens |
Chat: 0.013 / 1000 tokens |
NA |