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What is Reka?

Our sophisticated multimodal assistant has been thoughtfully designed with an emphasis on privacy, security, and operational efficiency. Yasa is equipped to analyze a range of content types, such as text, images, videos, and tables, with ambitions to broaden its capabilities in the future. It serves as a valuable resource for generating ideas for creative endeavors, addressing basic inquiries, and extracting meaningful insights from your proprietary data. With only a few simple commands, you can create, train, compress, or implement it on your own infrastructure. Our unique algorithms allow for customization of the model to suit your individual data and needs. We employ cutting-edge methods that include retrieval, fine-tuning, self-supervised instruction tuning, and reinforcement learning to enhance our model, ensuring it aligns effectively with your specific operational demands. This approach not only improves user satisfaction but also fosters productivity and innovation in a rapidly evolving landscape. As we continue to refine our technology, we remain committed to providing solutions that empower users to achieve their goals.

What is Llama 2?

We are excited to unveil the latest version of our open-source large language model, which includes model weights and initial code for the pretrained and fine-tuned Llama language models, ranging from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been crafted using a remarkable 2 trillion tokens and boast double the context length compared to the first iteration, Llama 1. Additionally, the fine-tuned models have been refined through the insights gained from over 1 million human annotations. Llama 2 showcases outstanding performance compared to various other open-source language models across a wide array of external benchmarks, particularly excelling in reasoning, coding abilities, proficiency, and knowledge assessments. For its training, Llama 2 leveraged publicly available online data sources, while the fine-tuned variant, Llama-2-chat, integrates publicly accessible instruction datasets alongside the extensive human annotations mentioned earlier. Our project is backed by a robust coalition of global stakeholders who are passionate about our open approach to AI, including companies that have offered valuable early feedback and are eager to collaborate with us on Llama 2. The enthusiasm surrounding Llama 2 not only highlights its advancements but also marks a significant transformation in the collaborative development and application of AI technologies. This collective effort underscores the potential for innovation that can emerge when the community comes together to share resources and insights.

Media

Media

Integrations Supported

1min.AI
AI/ML API
AICamp
Airtrain
Alpaca
Amazon Bedrock
AnythingLLM
Code Llama
ConfidentialMind
GaiaNet
Graydient AI
Klee
LM Studio
Medical LLM
Microsoft Foundry Agent Service
OpenPipe
TESS AI
Unsloth
Waveloom

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Reka

Company Location

United States

Company Website

reka.ai/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com/llama/

Categories and Features

AI Models

Not specified

AI Tools

Not specified

Large Language Models

Not specified

LLM API

Not specified

Multimodal Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

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