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Average Ratings 0 Ratings

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features
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support

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Write a Review

Description

Snowflake's Arctic Embed 2.0 brings enhanced multilingual functionality to its text embedding models, allowing for efficient global-scale data retrieval while maintaining strong performance in English and scalability. This version builds on the solid groundwork of earlier iterations, offering support for various languages and enabling developers to implement stream-processing pipelines that utilize neural networks and tackle intricate tasks, including tracking, video encoding/decoding, and rendering, thus promoting real-time data analytics across multiple formats. The model employs Matryoshka Representation Learning (MRL) to optimize embedding storage, achieving substantial compression with minimal loss of quality. As a result, organizations can effectively manage intensive workloads such as training expansive models, fine-tuning, real-time inference, and executing high-performance computing operations across different languages and geographical areas. Furthermore, this innovation opens new opportunities for businesses looking to harness the power of multilingual data analytics in a rapidly evolving digital landscape.

Description

Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

1min.AI No 
Alumnium No 
Astera AI Agent Builder No 
Cake AI No 
Dedoctive No 
EaseMate AI No 
FalkorDB No 
GPTZero No 
JustSimpleChat No 
Llama Guard No 
Mavvrik No 
Naptha No 
NativeMind No 
OpenAI Yes 
Prefactor No 
SambaNova No 
SpyderBot No 
Teneo.AI No 
WebLLM No 
ZeroGPT No 

Integrations

1min.AI Yes 
Alumnium Yes 
Astera AI Agent Builder Yes 
Cake AI Yes 
Dedoctive Yes 
EaseMate AI Yes 
FalkorDB Yes 
GPTZero Yes 
JustSimpleChat Yes 
Llama Guard Yes 
Mavvrik Yes 
Naptha Yes 
NativeMind Yes 
OpenAI No 
Prefactor Yes 
SambaNova Yes 
SpyderBot Yes 
Teneo.AI Yes 
WebLLM Yes 
ZeroGPT Yes 

Pricing Details

$2 per credit
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Snowflake

Founded

2012

Country

United States

Website

www.snowflake.com/en/engineering-blog/snowflake-arctic-embed-2-multilingual/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Product Features

Alternatives

Alternatives

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