Reka Core: Frontier-Class Multimodal Language Model

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Reka Core is a frontier-class multimodal language model that rivals leading models in the industry. It was efficiently trained from scratch on thousands of GPUs over a few months.

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Reka Core: Frontier-Class Multimodal Language Model

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Updated:2024/10/02

What is Reka Core: Frontier-Class Multimodal Language Model

Introducing Reka Core, a frontier-class multimodal language model that rivals leading models in the industry. With its powerful contextualized understanding of images, videos, and audio, Reka Core is capable of ingesting and precisely recalling large amounts of information.

Key Features of Reka Core: Frontier-Class Multimodal Language Model

Reka Core has powerful contextualized understanding of images, videos, and audio, and is capable of ingesting and precisely recalling large amounts of information. It is also competitive with models from OpenAI, Anthropic, and Google across key industry-accepted evaluation metrics.

Multimodal Understanding

Reka Core has powerful contextualized understanding of images, videos, and audio.

Large Context Window

Reka Core is capable of ingesting and precisely recalling large amounts of information.

Reasoning Abilities

Reka Core has superb reasoning abilities, making it suitable for complex tasks that require sophisticated analysis.

Coding and Agentic Workflow

Reka Core is a top-tier code generator and can empower agentic workflows.

Multilingual

Reka Core was pretrained on textual data from 32 languages and is fluent in English as well as several Asian and European languages.

Use Cases of Reka Core: Frontier-Class Multimodal Language Model

E-commerce: Use Reka Core to analyze product images and provide personalized recommendations to customers.
Social Media: Use Reka Core to analyze social media posts and provide insights on user behavior.
Digital Content and Video Games: Use Reka Core to generate interactive content and provide personalized experiences for users.
Healthcare: Use Reka Core to analyze medical images and provide insights on patient diagnosis and treatment.

Pros and Cons of Reka Core: Frontier-Class Multimodal Language Model

Pros

Reka Core is a frontier-class multimodal language model that rivals leading models in the industry.
Reka Core has powerful contextualized understanding of images, videos, and audio.
Reka Core is competitive with models from OpenAI, Anthropic, and Google across key industry-accepted evaluation metrics.

Cons

Reka Core may require significant computational resources to deploy.
Reka Core may require specialized expertise to integrate and use effectively.
Reka Core may have limitations in certain domains or use cases.

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How to Use Reka Core: Frontier-Class Multimodal Language Model

1
Sign up for a Reka Core account to access the model and start exploring its capabilities.
2
Review the Reka Core documentation and tutorials to learn how to use the model effectively.
3
Experiment with different use cases and applications to see how Reka Core can benefit your organization.

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Reka Core: Frontier-Class Multimodal Language Model

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Reka Core: Frontier-Class Multimodal Language Model

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What is Reka Core: Frontier-Class Multimodal Language Model