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

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.

Description

RoBERTa enhances the language masking approach established by BERT, where the model is designed to predict segments of text that have been deliberately concealed within unannotated language samples. Developed using PyTorch, RoBERTa makes significant adjustments to BERT's key hyperparameters, such as eliminating the next-sentence prediction task and utilizing larger mini-batches along with elevated learning rates. These modifications enable RoBERTa to excel in the masked language modeling task more effectively than BERT, resulting in superior performance in various downstream applications. Furthermore, we examine the benefits of training RoBERTa on a substantially larger dataset over an extended duration compared to BERT, incorporating both existing unannotated NLP datasets and CC-News, a new collection sourced from publicly available news articles. This comprehensive approach allows for a more robust and nuanced understanding of language.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

1min.AI Yes 
Azure Marketplace Yes 
Concierge AI Yes 
Cyte Yes 
EaseMate AI Yes 
Entry Point AI Yes 
Gopher Yes 
Jspreadsheet Yes 
JustSimpleChat Yes 
Kiin Yes 
Kong AI Gateway Yes 
Llama 4 Behemoth Yes 
Llama 4 Scout Yes 
Locally AI Yes 
Oumi Yes 
Plano Yes 
PyMuPDF Yes 
Scottie Yes 
SheetMagic Yes 
amazee.ai Yes 

Integrations

1min.AI No 
Azure Marketplace No 
Concierge AI No 
Cyte No 
EaseMate AI No 
Entry Point AI No 
Gopher No 
Jspreadsheet No 
JustSimpleChat No 
Kiin No 
Kong AI Gateway No 
Llama 4 Behemoth No 
Llama 4 Scout No 
Locally AI No 
Oumi No 
Plano No 
PyMuPDF No 
Scottie No 
SheetMagic No 
amazee.ai No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

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 No 

Types of Training

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

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.facebook.com/blog/roberta-an-optimized-method-for-pretraining-self-supervised-nlp-systems/

Alternatives

Alternatives

Llama Reviews

Llama

Meta
Gemini Reviews

Gemini

Google
BERT Reviews

BERT

Google
ColBERT Reviews

ColBERT

Future Data Systems
Alpaca Reviews

Alpaca

Stanford Center for Research on Foundation Models (CRFM)