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

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

Description

We have incorporated Llama 3 into Meta AI, our intelligent assistant that enhances how individuals accomplish tasks, innovate, and engage with Meta AI. By utilizing Meta AI for coding and problem-solving, you can experience Llama 3's capabilities first-hand. Whether you are creating agents or other AI-driven applications, Llama 3, available in both 8B and 70B versions, will provide the necessary capabilities and flexibility to bring your ideas to fruition. With the launch of Llama 3, we have also revised our Responsible Use Guide (RUG) to offer extensive guidance on the ethical development of LLMs. Our system-focused strategy encompasses enhancements to our trust and safety mechanisms, including Llama Guard 2, which is designed to align with the newly introduced taxonomy from MLCommons, broadening its scope to cover a wider array of safety categories, alongside code shield and Cybersec Eval 2. Additionally, these advancements aim to ensure a safer and more responsible use of AI technologies in various applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AiAssistWorks Yes 
C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Clojure Yes 
Elixir Yes 
F# Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Julia Yes 
Kotlin Yes 
LM-Kit.NET Yes 
Python Yes 
Rust Yes 
SQL Yes 
Scala Yes 
VESSL AI Yes 
Visual Basic Yes 

Integrations

AiAssistWorks Yes 
C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Clojure Yes 
Elixir Yes 
F# Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Julia Yes 
Kotlin Yes 
LM-Kit.NET Yes 
Python Yes 
Rust Yes 
SQL Yes 
Scala Yes 
VESSL AI Yes 
Visual Basic Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Google

Country

United States

Website

ai.google.dev/gemma

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

llama.meta.com

Alternatives

Alternatives

Gemma Reviews

Gemma

Google
Llama Reviews

Llama

Meta
Gemma 3 Reviews

Gemma 3

Google
Claude Haiku 3 Reviews

Claude Haiku 3

Anthropic