Reka-Flash-21B-online

Reka Flash-21B is a multimodal and multilingual language model designed to process and generate text, images, and video content. This AI software offers high-performance capabilities across various tasks, including question answering, reasoning, coding, and visual processing, making it suitable for diverse applications in business, research, and development.

Key features:

- Multimodal Processing: Handles text, images, and video inputs for comprehensive content analysis and generation.
- Multilingual Support: Pretrained on text from over 32 languages, enabling effective communication across linguistic barriers.
- Advanced Reasoning: Excels in commonsense reasoning, causal reasoning, and complex question answering tasks.
- Code Generation: Capable of producing and analyzing programming code across multiple languages.
- Efficient Scaling: Offers a compact 7B parameter variant (Reka Edge) for resource-constrained environments without significant performance loss.
- Fine-tuned Chat Models: Incorporates instruction tuning and reinforcement learning from human feedback for enhanced conversational abilities.

How it works:

1. Users obtain an API key from the Reka Platform Dashboard.
2. The Reka Python SDK or HTTP API is installed and initialized with the API key.
3. Users send queries or prompts to the model through the SDK or API.
4. The model processes the input and generates appropriate responses.
5. Results are returned to the user for further use or analysis.

Integrations:
Python SDK, HTTP API

Use of AI:
Reka Flash-21B utilizes advanced AI techniques to process and generate multimodal content. It employs natural language processing for text understanding and generation, computer vision for image and video analysis, and machine learning algorithms for reasoning and decision-making tasks.

AI foundation model:
The model is trained from scratch using large-scale datasets and optimized for performance across various benchmarks. It incorporates reinforcement learning from human feedback (RLHF) with Proximal Policy Optimization (PPO) for fine-tuning, particularly in its chat models.

Target users:
- Developers integrating advanced language and vision capabilities into applications
- Researchers exploring state-of-the-art multimodal and multilingual models
- Businesses requiring efficient and high-performing AI models for diverse applications

How to access:
Users can access Reka Flash-21B through the Reka Playground for public beta testing, allowing experimentation with the model in various scenarios. For integration into applications, the model is available via the Reka Python SDK and HTTP API.

Model variants:
- Reka Flash-21B: The full-scale model with 21 billion parameters, offering comprehensive multimodal and multilingual capabilities.
- Reka Edge: A compact 7B parameter model designed for resource-constrained scenarios and local deployments, while maintaining competitive performance.