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The Ozonetel AI project is designed to provide a user-friendly interface for software development using Ozonetel's in-house AI libraries, models, and software solutions. It offers seamless integration with Ozonetel's advanced AI capabilities, allowing developers to harness the power of AI to enhance their applications.
Set Credentials: Before using the text embedding feature, set your credentials by importing the os module and setting the OZAI_API_CREDENTIALS environment variable to point to your credentials file.
Text Embedding Extraction Text embedding converts textual data into numerical representations, aiding natural language processing tasks. By capturing semantic meaning, it enhances sentiment analysis, document classification, and named entity recognition. Efficient and transferable, embeddings facilitate faster computation and enable machine learning models to better understand and process text. BinarizeSentenceEmbedding binarizes base embeddings and represents in bits.
