Anthropic Batch Jobs
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AI Tool
Transform Your Text Generation with Cohere Batch Inference
Unlock discounted batch processing for your large-scale text generation needs.
Efficiently process large volumes of text with improved throughput and precision.Leverage multimodal capabilities for both text and image processing in one batch.Optimize for cost and speed with configurable batch sizes and performance enhancements.
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Pricing & LicensingDiscounts & CreditsBatch Pricing
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overview
What is Cohere Batch Inference?
Cohere Batch Inference is designed for organizations that require high-performance processing of extensive text-generation workloads. With discounted pricing and configurable options, it provides the flexibility necessary for large-scale operations.
- Discounted pricing tailored for bulk processing.
- Support for diverse workloads including document indexing and classification.
- Asynchronous and per-request workflows available.
features
Key Features of Batch Inference
Our latest models offer a powerful upgrade for enterprises needing advanced NLP capabilities. Experience higher throughput and the ability to handle multimodal inputs, setting a new standard for efficiency.
- Advanced models like Command A and Embed v3.0 for high performance.
- Batch size parameters for cost-effective execution.
- Custom configurations for timeouts and retries ensuring reliability.
use_cases
Ideal Use Cases for Batch Inference
Cohere Batch Inference is optimally suited for various applications, from search and classification to document processing. It's perfect for developers and enterprises aiming to manage substantial data efficiently.
- Enterprise search optimization with mixed content.
- RAG (Retrieval-Augmented Generation) integration for enhanced performance.
- Versatile document applications involving text and images.
Frequently Asked Questions
What types of input can I process using Cohere Batch Inference?
You can process both text and images in the same batch job, allowing for multimodal applications in your workflows.
How does the batch processing improve performance?
Our latest models achieve up to 150% higher throughput compared to previous iterations, enabling faster processing with fewer resources.
What flexibility do I have regarding batch configurations?
You can customize batch sizes, set timeouts, and implement retry logic to fine-tune performance based on your specific requirements.