Introduction

Imagine a world where Artificial Intelligence seamlessly comprehends not just text but also images, videos, and audio. Reka has launched Reka Core, a new frontier-class multimodal language model that supports input of text, image, video, and audio. This model is one of only two commercially available with such capabilities, offering advanced performance in automated base model evaluations and blind third-party human evaluations. Core is designed for agentic workflows and complex tasks requiring sophisticated analysis.

Key Features of Reka Core

Reka Core is a powerful multimodal language model that excels in processing text, images, videos, and audio inputs. It has been trained to understand and reason with diverse types of data, making it a versatile tool for various applications. The model’s ability to handle multiple modalities sets it apart from traditional language models. Also allowing it to provide comprehensive and contextually relevant responses across different media formats.

• Multimodal Understanding: Reka Core is a versatile tool capable of processing and reasoning with text, images, videos, and audio inputs. Showcasing its proficiency in multimodal understanding, making it useful for various applications.
• Powerful Performance: Reka Core outperforms leading models in benchmarks, delivering significant value for its compute class. It surpasses larger models in automatic and blind human evaluations.

• Advanced Capabilities(128K Context Window, Reasoning, Coding, Multilingual Fluency): Reka Core, with a 128K context window, strong reasoning abilities, and multilingual fluency, outperforms benchmarks in long-context tasks and retrieval, with 25% of pretraining data code-related.
• Flexible Deployment Options: Reka Core provides versatile deployment options for chat applications and developer platforms, catering to diverse user needs, making it a versatile solution for various applications.

Competitive Advantages

Reka Core offers affordable pricing for its API, making it accessible for widespread use. The Reka suite of multimodal language models, including Reka Core, Flash, and Edge, provides state-of-the-art performance at a competitive price point. The pricing of $10 per million input tokens and $25 per million output tokens is competitive with other industry peers, ensuring that customers can leverage Core’s capabilities without breaking the bank.

With the ability to outperform other models in their compute class, such as Gemma 7B and Mistral 7B, Reka Flash and Edge offer significant value for their scale. This cost-effective pricing strategy positions Reka Core as an attractive option for businesses and organizations looking to integrate advanced multimodal language models into their workflows. By providing accessible API costs, Reka Core aims to democratize access to multimodal technology and enable a broader range of use cases across various industries.

Reka’s Commitment to Multimodal Innovation

Reka demonstrates dedication to developing frontier multimodal models through the launch of Core, Edge, and Flash. In terms of fulfilling Reka’s objective to offer complete multimodal solutions for a variety of industries and use cases, these models mark a major advancement. The models in the suite facilitate the processing of text, image, video, and audio inputs, opening up more diverse and expansive consumer use cases in sectors including robotics, digital content creation, e-commerce, social media, and video games.

Strategic alliances that Reka has forged with top international technology platforms and governmental institutions are essential to its dedication to multimodal innovation. These alliances, which include ones with AI Singapore, Snowflake, and Oracle, are crucial to democratizing multimodal technology access. Through working together with these partners, Reka hopes to make it possible for businesses and individuals everywhere to use and develop with Reka models, which will accelerate the worldwide adoption of multimodal technology.

Getting Started with Reka Core

Prompting Reka Core with a Video

• I provided Reka a downloaded YouTube Video and asking it to identify the characters and describe the scene.

• In few seconds you have a response, and I amazed by the output I recieved.

• The output’s quality is impressive if we disregard the emotional nuances missed in the scene.

The Future of Multimodal AI with Reka Core

Reka Core, the latest addition to Reka’s leading multimodal models. It represents a significant leap forward in the field of AI technology. With its ability to process text, image, video, and audio input, Core is poised to revolutionize interaction with AI systems. The launch of Core marks a pivotal moment in the development of frontier multimodal models. It positions Reka as a key player in the advancement of AI capabilities.

Open-Source Collaboration and Advancing AI Capabilities

In its commitment to advancing AI, Reka actively engages in open-source collaboration, enhancing its multimodal models’ capabilities. Collaborating with leading global tech platforms like Snowflake, Oracle, and AI Singapore, Reka has democratized multimodal technology access. This has allowed businesses and individuals all across the world to take advantage of its state-of-the-art AI models.

Partnering for the Future of Multimodal AI

Reka’s vision for multimodal AI emphasizes partnership and strategic collaboration. They invite new collaborators to realize its full potential, benefiting all people through the use of diverse stakeholders’ knowledge.

Conclusion

In the development of multimodal AI technology, the release of Reka Core marks a critical turning point. Core is positioned to be a disruptive force in the AI space. Thanks to its unmatched skills to analyze multimodal input. Its competitive performance across important widely recognized evaluation measures.
The future of multimodal AI is promising as Reka continues to innovate and influence the field.

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