Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    985 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • KrakenD Reviews & Ratings
    71 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    48 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,122 Ratings
    Company Website
  • wp2print Reviews & Ratings
    7,598 Ratings
    Company Website
  • InboxAlly Reviews & Ratings
    128 Ratings
    Company Website
  • RealEstateAPI (REAPI) Reviews & Ratings
    51 Ratings
    Company Website

What is OpenELM?

OpenELM is a series of open-source language models developed by Apple. Utilizing a layer-wise scaling method, it successfully allocates parameters throughout the layers of the transformer model, leading to enhanced accuracy compared to other open language models of a comparable scale. The model is trained on publicly available datasets and is recognized for delivering exceptional performance given its size. Moreover, OpenELM signifies a major step forward in the quest for efficient language models within the open-source community, showcasing Apple's commitment to innovation in this field. Its development not only highlights technical advancements but also emphasizes the importance of accessibility in AI research.

What is Llama?

Llama, a leading-edge foundational large language model developed by Meta AI, is designed to assist researchers in expanding the frontiers of artificial intelligence research. By offering streamlined yet powerful models like Llama, even those with limited resources can access advanced tools, thereby enhancing inclusivity in this fast-paced and ever-evolving field. The development of more compact foundational models, such as Llama, proves beneficial in the realm of large language models since they require considerably less computational power and resources, which allows for the exploration of novel approaches, validation of existing studies, and examination of potential new applications. These models harness vast amounts of unlabeled data, rendering them particularly effective for fine-tuning across diverse tasks. We are introducing Llama in various sizes, including 7B, 13B, 33B, and 65B parameters, each supported by a comprehensive model card that details our development methodology while maintaining our dedication to Responsible AI practices. By providing these resources, we seek to empower a wider array of researchers to actively participate in and drive forward the developments in the field of AI. Ultimately, our goal is to foster an environment where innovation thrives and collaboration flourishes.

Media

No images available

Media

No images available

Integrations Supported

1min.AI
AGAT Secure AI Platform
Agenta
Alpaca
Athina AI
BlueFlame AI
CompactifAI
Decompute Blackbird
Lakera
MindMac
Nebius Token Factory
Ontosight.ai
Pinecone Rerank v0
Plano
PostgresML
PromptX
PyMuPDF
Snack Prompt
Unsloth
ZenML

Integrations Supported

1min.AI
AGAT Secure AI Platform
Agenta
Alpaca
Athina AI
BlueFlame AI
CompactifAI
Decompute Blackbird
Lakera
MindMac
Nebius Token Factory
Ontosight.ai
Pinecone Rerank v0
Plano
PostgresML
PromptX
PyMuPDF
Snack Prompt
Unsloth
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apple

Date Founded

1976

Company Location

United States

Company Website

apple.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

www.llama.com

Popular Alternatives

Llama 2 Reviews & Ratings

Llama 2

Meta

Popular Alternatives

Gemini Reviews & Ratings

Gemini

Google
Phi-4 Reviews & Ratings

Phi-4

Microsoft
Gemma 2 Reviews & Ratings

Gemma 2

Google
Alpaca Reviews & Ratings

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
GPT-J Reviews & Ratings

GPT-J

EleutherAI