Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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.

Description

Voyage AI has unveiled voyage-code-3, an advanced embedding model specifically designed to enhance code retrieval capabilities. This innovative model achieves superior performance, surpassing OpenAI-v3-large and CodeSage-large by averages of 13.80% and 16.81% across a diverse selection of 32 code retrieval datasets. It accommodates embeddings of various dimensions, including 2048, 1024, 512, and 256, and provides an array of embedding quantization options such as float (32-bit), int8 (8-bit signed integer), uint8 (8-bit unsigned integer), binary (bit-packed int8), and ubinary (bit-packed uint8). With a context length of 32 K tokens, voyage-code-3 exceeds the limitations of OpenAI's 8K and CodeSage Large's 1K context lengths, offering users greater flexibility. Utilizing an innovative approach known as Matryoshka learning, it generates embeddings that feature a layered structure of varying lengths within a single vector. This unique capability enables users to transform documents into a 2048-dimensional vector and subsequently access shorter dimensional representations (such as 256, 512, or 1024 dimensions) without the need to re-run the embedding model, thus enhancing efficiency in code retrieval tasks. Additionally, voyage-code-3 positions itself as a robust solution for developers seeking to improve their coding workflow.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

1min.AI
AICamp
AiAssistWorks
Amazon Bedrock
Batteries Included
BlueFlame AI
Bolna
C#
Featherless
FriendliAI
Gopher
Graydient AI
Klee
Meta AI
Milvus
PostgresML
Rust
SurePath AI
Visual Basic
ZenML

Integrations

1min.AI
AICamp
AiAssistWorks
Amazon Bedrock
Batteries Included
BlueFlame AI
Bolna
C#
Featherless
FriendliAI
Gopher
Graydient AI
Klee
Meta AI
Milvus
PostgresML
Rust
SurePath AI
Visual Basic
ZenML

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

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

Vendor Details

Company Name

Voyage AI

Founded

2023

Country

United States

Website

blog.voyageai.com/2024/12/04/voyage-code-3/

Product Features

Alternatives

Command A Reviews

Command A

Cohere AI

Alternatives

Amazon Nova Reviews

Amazon Nova

Amazon
voyage-3-large Reviews

voyage-3-large

Voyage AI
DeepSeek R1 Reviews

DeepSeek R1

DeepSeek
Codestral Embed Reviews

Codestral Embed

Mistral AI