Google has released Gemini Embedding, an artificial intelligence model for training embeddings from Gemini. Google claims that the results of gemini-embedding-exp-03-07 testing outperformed their previous model, text-embedding-004, as well as other embedding models.
Embedding is the process of converting textual data into numerical form for classification or categorization, reducing processing costs while maintaining high result efficiency.
Google highlights the training data’s versatility in making Gemini Embedding capable of converting data from various topics such as finance, science, law, research, and more.
Gemini Embedding is now available for use through the Gemini API.
TLDR: Google introduces Gemini Embedding, an AI model that excels in converting data across diverse topics into numerical form for improved classification efficiency.
Leave a Comment