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

Language plays a crucial role in showcasing and enhancing understanding, which is essential to the human experience. It empowers individuals to share thoughts, convey ideas, create lasting memories, and foster empathy and connection with others. These elements are vital for social intelligence, which is why our teams at DeepMind focus on various facets of language processing and communication in both artificial intelligences and humans. Within the larger framework of AI research, we are convinced that advancing the capabilities of language models—systems designed to predict and generate text—holds immense promise for the creation of sophisticated AI systems. Such systems can be employed effectively and safely to condense information, offer expert insights, and execute commands through natural language. However, the journey toward developing beneficial language models necessitates thorough exploration of their possible consequences, including the challenges and risks they may introduce into society. By understanding these dynamics, we can work towards harnessing their power while minimizing any potential downsides.

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

Screenshots View All

Screenshots View All

No images available

Integrations

AICamp
Alpaca
AnythingLLM
BlueFlame AI
Bolna
Chatbot Arena
Firecrawl
HubSpot AI Search Grader
Lakera
Llama
Llama 4 Behemoth
Llama Guard
Mangools
NVIDIA DGX Cloud Serverless Inference
Overseer AI
Pinecone Rerank v0
PromptPal
SectorFlow
SiliconFlow
SurePath AI

Integrations

AICamp
Alpaca
AnythingLLM
BlueFlame AI
Bolna
Chatbot Arena
Firecrawl
HubSpot AI Search Grader
Lakera
Llama
Llama 4 Behemoth
Llama Guard
Mangools
NVIDIA DGX Cloud Serverless Inference
Overseer AI
Pinecone Rerank v0
PromptPal
SectorFlow
SiliconFlow
SurePath AI

Pricing Details

No price information available.
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

DeepMind

Founded

2010

Country

United Kingdom

Website

www.deepmind.com/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Product Features

Alternatives

ESMFold Reviews

ESMFold

Meta

Alternatives

Alpaca Reviews

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Med-PaLM 2 Reviews

Med-PaLM 2

Google Cloud
Jurassic-1 Reviews

Jurassic-1

AI21 Labs
BitNet Reviews

BitNet

Microsoft