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ease
features
design
support

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Write a Review

Description

The Gemini Embedding's inaugural text model, known as gemini-embedding-001, is now officially available through the Gemini API and Gemini Enterprise Agent Platform, having maintained its leading position on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental introduction in March, attributed to its outstanding capabilities in retrieval, classification, and various embedding tasks, surpassing both traditional Google models and those from external companies. This highly adaptable model accommodates more than 100 languages and has a maximum input capacity of 2,048 tokens, utilizing the innovative Matryoshka Representation Learning (MRL) method, which allows developers to select output dimensions of 3072, 1536, or 768 to ensure the best balance of quality, performance, and storage efficiency. Developers are able to utilize it via the familiar embed_content endpoint in the Gemini API.

Description

The newest version in the Llama series, Llama 3.3, represents a significant advancement in language models aimed at enhancing AI's capabilities in understanding and communication. It boasts improved contextual reasoning, superior language generation, and advanced fine-tuning features aimed at producing exceptionally accurate, human-like responses across a variety of uses. This iteration incorporates a more extensive training dataset, refined algorithms for deeper comprehension, and mitigated biases compared to earlier versions. Llama 3.3 stands out in applications including natural language understanding, creative writing, technical explanations, and multilingual interactions, making it a crucial asset for businesses, developers, and researchers alike. Additionally, its modular architecture facilitates customizable deployment in specific fields, ensuring it remains versatile and high-performing even in large-scale applications. With these enhancements, Llama 3.3 is poised to redefine the standards of AI language models.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
BrandRank.AI No 
C# No 
Cyte No 
Decopy AI No 
Deep Infra No 
Gopher No 
Graydient AI No 
HTML No 
Humiris AI No 
LM-Kit.NET No 
Mimasa AI Yes 
Okara No 
PostgresML No 
Revere No 
Sesterce No 
TypeScript No 
Use AI No 
Waveloom No 
nexos.ai No 

Integrations

Python Yes 
BrandRank.AI Yes 
C# Yes 
Cyte Yes 
Decopy AI Yes 
Deep Infra Yes 
Gopher Yes 
Graydient AI Yes 
HTML Yes 
Humiris AI Yes 
LM-Kit.NET Yes 
Mimasa AI No 
Okara Yes 
PostgresML Yes 
Revere Yes 
Sesterce Yes 
TypeScript Yes 
Use AI Yes 
Waveloom Yes 
nexos.ai Yes 

Pricing Details

$0.15 per 1M input tokens
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

developers.googleblog.com/en/gemini-embedding-available-gemini-api/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com/docs/model-cards-and-prompt-formats/llama3_3/

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