Llama

Llama

Meta
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About

E5 Text Embeddings, developed by Microsoft, are advanced models designed to convert textual data into meaningful vector representations, enhancing tasks like semantic search and information retrieval. These models are trained using weakly-supervised contrastive learning on a vast dataset of over one billion text pairs, enabling them to capture intricate semantic relationships across multiple languages. The E5 family includes models of varying sizes—small, base, and large—offering a balance between computational efficiency and embedding quality. Additionally, multilingual versions of these models have been fine-tuned to support diverse languages, ensuring broad applicability in global contexts. Comprehensive evaluations demonstrate that E5 models achieve performance on par with state-of-the-art, English-only models of similar sizes.

About

Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

E5 Text Embeddings are designed for AI researchers, machine learning engineers, and developers seeking high-quality text representations for applications like semantic search, information retrieval, and multilingual NLP tasks

Audience

AI developers interested in a powerful large language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
github.com/microsoft/unilm/tree/master/e5

Company Information

Meta
Founded: 2004
United States
www.llama.com

Alternatives

Alternatives

Gemini

Gemini

Google
Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
word2vec

word2vec

Google
Llama 2

Llama 2

Meta
txtai

txtai

NeuML

Categories

Categories

Integrations

1min.AI
AGAT Secure AI Platform
Admix
AnythingLLM
Axolotl
CoSpaceGPT
Deasie
Decopy AI
Deep Infra
Diaflow
Entry Point AI
GPTZero
Kodosumi
Lorelight
Magai
Mastra AI
Parasail
PromptPal
RankLLM
fullmoon

Integrations

1min.AI
AGAT Secure AI Platform
Admix
AnythingLLM
Axolotl
CoSpaceGPT
Deasie
Decopy AI
Deep Infra
Diaflow
Entry Point AI
GPTZero
Kodosumi
Lorelight
Magai
Mastra AI
Parasail
PromptPal
RankLLM
fullmoon
Claim E5 Text Embeddings and update features and information
Claim E5 Text Embeddings and update features and information
Claim Llama and update features and information
Claim Llama and update features and information