Unlocking the Potential of Together AI's Embedding Models
Together AI continues to push the boundaries of artificial intelligence with their latest development: an embedding model capable of processing up to 150 million tokens. This new offering is a part of Together AI's broader suite of solutions aimed at enhancing the capabilities of AI for various business applications.
One of the standout features of this new embedding model is its cost-efficiency. With an input price of just $0.008 per 1 million tokens and no charge for output, businesses can leverage this advanced model without breaking the bank. The model is designed to handle a maximum of 150 million tokens, making it ideal for large-scale data processing and complex AI tasks.
The embedding model is integrated into the Together Enterprise Platform, which offers a comprehensive solution for managing the entire AI lifecycle. This platform enables businesses to train, fine-tune, and run inference on various AI models in diverse environments, including virtual private clouds (VPCs) and on-premise infrastructure. The platform promises 2-3 times faster inference and up to 50% lower operational costs, ensuring both speed and cost-efficiency.
Another critical component is the Together Inference Engine 2.0. This engine features new Turbo and Lite endpoints, achieving over 400 tokens per second on Meta Llama 3 8B models. These endpoints offer a balance of performance, quality, and price, with the Turbo endpoint nearly matching the quality of full-precision FP16 models.
The Together AI platform is incredibly flexible, supporting a wide range of model types, including chat, multimodal, embeddings, rerank, and code models. This flexibility is further enhanced by the platform's ability to orchestrate multiple AI models within a single application or workflow through a 'Mixture of Agents' approach. This method combines weaker models as proposers and an aggregator model to produce better overall results.
Together AI's embedding models, including the new 150 million token model, are designed for a variety of tasks such as retrieval, classification, clustering, and semantic search. These capabilities open up numerous possibilities for businesses looking to enhance their data processing and AI-driven insights.
For more details and to stay updated with the latest developments, visit Together AI's official website or check out their recent blog posts.
