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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Jamba stands out as the most potent and effective long context model, specifically designed for builders while catering to enterprise needs. With superior latency compared to other leading models of similar sizes, Jamba boasts a remarkable 256k context window, the longest that is openly accessible. Its innovative Mamba-Transformer MoE architecture focuses on maximizing cost-effectiveness and efficiency. Key features available out of the box include function calls, JSON mode output, document objects, and citation mode, all designed to enhance user experience. Jamba 1.5 models deliver exceptional performance throughout their extensive context window and consistently achieve high scores on various quality benchmarks. Enterprises can benefit from secure deployment options tailored to their unique requirements, allowing for seamless integration into existing systems. Jamba can be easily accessed on our robust SaaS platform, while deployment options extend to strategic partners, ensuring flexibility for users. For organizations with specialized needs, we provide dedicated management and continuous pre-training, ensuring that every client can leverage Jamba’s capabilities to the fullest. This adaptability makes Jamba a prime choice for enterprises looking for cutting-edge solutions.

Description

Introducing a remarkable family of compact language models (SLMs) that deliver exceptional performance while being cost-effective and low in latency. These models are designed to enhance AI functionalities, decrease resource consumption, and promote budget-friendly generative AI applications across various platforms. They improve response times in real-time interactions, navigate autonomous systems, and support applications that demand low latency, all critical to user experience. Phi-3 can be deployed in cloud environments, edge computing, or directly on devices, offering unparalleled flexibility for deployment and operations. Developed in alignment with Microsoft AI principles—such as accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness—these models ensure ethical AI usage. They also excel in offline environments where data privacy is essential or where internet connectivity is sparse. With an expanded context window, Phi-3 generates outputs that are more coherent, accurate, and contextually relevant, making it an ideal choice for various applications. Ultimately, deploying at the edge not only enhances speed but also ensures that users receive timely and effective responses.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Azure AI Services No 
Azure OpenAI Service No 
BLACKBOX AI Yes 
Cake AI No 
Falcon-7B No 
Gauge Yes 
JSON Yes 
LM-Kit.NET No 
LangChain Yes 
LlamaIndex Yes 
Microsoft 365 Yes 
Molmo No 
Msty No 
Pinecone Yes 
Skott No 
Snowflake Yes 
Streamlit Yes 
WebLLM No 

Integrations

Amazon Web Services (AWS) No 
Azure AI Services Yes 
Azure OpenAI Service Yes 
BLACKBOX AI No 
Cake AI Yes 
Falcon-7B Yes 
Gauge No 
JSON No 
LM-Kit.NET Yes 
LangChain No 
LlamaIndex No 
Microsoft 365 No 
Molmo Yes 
Msty Yes 
Pinecone No 
Skott Yes 
Snowflake No 
Streamlit No 
WebLLM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

AI21 Labs

Country

Israel

Website

www.ai21.com/jamba

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/phi-3

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