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Description

Microsoft has developed E5 Text Embeddings, which are sophisticated models that transform textual information into meaningful vector forms, thereby improving functionalities such as semantic search and information retrieval. Utilizing weakly-supervised contrastive learning, these models are trained on an extensive dataset comprising over one billion pairs of texts, allowing them to effectively grasp complex semantic connections across various languages. The E5 model family features several sizes—small, base, and large—striking a balance between computational efficiency and the quality of embeddings produced. Furthermore, multilingual adaptations of these models have been fine-tuned to cater to a wide array of languages, making them suitable for use in diverse global environments. Rigorous assessments reveal that E5 models perform comparably to leading state-of-the-art models that focus exclusively on English, regardless of size. This indicates that the E5 models not only meet high standards of performance but also broaden the accessibility of advanced text embedding technology worldwide.

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

API Access

Has API

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Integrations

Aerogram
Agenta
Alumnium
Amazon SageMaker Unified Studio
Axolotl
Azure AI Foundry Agent Service
Diaflow
Entry Point AI
Featherless
Fleak
Jspreadsheet
Llama Guard
Mangools
MindMac
NeoAnalyst.ai
Oracle AI Agent Studio
Parasail
SurePath AI
TypeThink
Unsloth

Integrations

Aerogram
Agenta
Alumnium
Amazon SageMaker Unified Studio
Axolotl
Azure AI Foundry Agent Service
Diaflow
Entry Point AI
Featherless
Fleak
Jspreadsheet
Llama Guard
Mangools
MindMac
NeoAnalyst.ai
Oracle AI Agent Studio
Parasail
SurePath AI
TypeThink
Unsloth

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

Microsoft

Founded

1975

Country

United States

Website

github.com/microsoft/unilm/tree/master/e5

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Product Features

Alternatives

Alternatives

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