Embeddings Gte Base
The Embeddings-gte-base AI model is designed to receive textual input and output a corresponding set of text and vector data. This is useful in numerous applications where understanding, categorizing, or sorting of large amounts of textual data is key. Some potential use-cases for this AI model could include sentiment analysis, spam filtering, topic extraction, and language translation. For example, in sentiment analysis, the text that a user inputs could be analyzed and an understanding of its emotional leanings (positive, negative, neutral) can be inferred from the vector data. This would be useful in understanding customer feedback or social media comments and make appropriate business decisions. In spam filtering, the text of an email can be input and the returned vector data can determine if it's spam or not, helping to improve email management and productivity. In topic extraction, the AI model can analyze large amounts of text, for example, news articles or research papers, and extract the main topics from the vector output, reducing the need for manual overview and categorization. Lastly, in language translation, the AI suggests the appropriate translation by comparing the vector data of each potential translation to the source text's vector data, effectively enhancing and streamlining translation processes. Furthermore, these practical uses of the model can be incorporated into various end products. Including but not limited to customer service software for better response to client feedback, email management applications, news aggregators for more effective article curation according to the readers' interest, and language translation apps facilitating seamless multilingual communication.
- Cost per run
- Avg run time
|Embeddings Gte Base||$?||238,951|
You can use this area to play around with demo applications that incorporate the Embeddings Gte Base model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Embeddings Gte Base|
General Text Embeddings (GTE) model.
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||No paper link provided|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$-|
|Average Completion Time||-|