Explore Cohere's Command R+ (08-2024)

Boost efficiency with faster processing and lower latency.

Input: text Output: text Context: 128,000 tokens Release: 2024-08-30

Cohere's Command R+ (08-2024) is an updated text model designed to improve efficiency and performance. Released in August 2024, this model features a 50% increase in throughput and a 25% reduction in latency compared to its predecessor, all while maintaining the same hardware requirements. With a context window of 128,000 tokens, Command R+ supports a wide range of text-to-text tasks. It accepts text inputs and outputs, making it versatile for various applications. Key parameters include frequency penalty, max tokens, and temperature, allowing users to fine-tune the model's responses. Whether you're generating structured outputs or exploring different response formats, Command R+ provides a robust solution for text processing needs.

Use Cases

Here are a few ways teams apply Cohere: Command R+ (08-2024) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance text generation workflows

Optimize response times in applications

Develop advanced text analysis tools

Key Features

A quick look at the capabilities that make this model useful in real projects.

50% higher throughput

25% lower latency

128,000 token context window

Text input and output

Supports various parameters

Specs

Overview

Vendor
cohere

Model ID
cohere/command-r-plus-08-2024

Release
2024-08-30

Modalities & context

Input
text

Output
text

Context
128,000 tokens

Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Cohere: Command R+ (08-2024)

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

The advent of artificial intelligence (AI) has the potential to revolutionize various aspects of human life, including work, leisure, and creativity, in numerous ways: **Work:** AI can automate repetitive and mundane tasks, increasing productivity and allowing employees to focus on more complex, creative responsibilities. This could lead to a more efficient and satisfying work environment. Advanced AI algorithms can analyze vast amounts of data quickly, aiding in decision-making and strategic planning, which could enhance business operations and innovation. **Leisure:** AI-powered virtual assistants and smart home devices can simplify daily tasks, granting individuals more free time for leisure activities. Additionally, AI-curated recommendations for movies, books, and travel destinations can enhance personal enjoyment and discovery. **Creativity:** AI can serve as a powerful tool for artists, writers, and musicians, offering new avenues for expression. AI-generated art, music, and writing can inspire and collaborate with human creators, fostering innovative artistic styles and narratives. Moreover, AI-driven creative tools can lower the barrier to entry for aspiring artists, enabling more people to explore their creative passions. In summary, AI has the potential to bring about positive transformations in work, leisure, and creative pursuits, leading to increased efficiency, enhanced experiences, and expanded opportunities for human expression.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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