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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

We present the Granite series of decoder-only code models specifically designed for tasks involving code generation, such as debugging, code explanation, and documentation, utilizing programming languages across a spectrum of 116 different types. An extensive assessment of the Granite Code model family across various tasks reveals that these models consistently achieve leading performance compared to other open-source code language models available today. Among the notable strengths of Granite Code models are: Versatile Code LLM: The Granite Code models deliver competitive or top-tier results across a wide array of code-related tasks, which include code generation, explanation, debugging, editing, translation, and beyond, showcasing their capacity to handle various coding challenges effectively. Additionally, their adaptability makes them suitable for both simple and complex coding scenarios. Reliable Enterprise-Grade LLM: All models in this series are developed using data that complies with licensing requirements and is gathered in alignment with IBM's AI Ethics guidelines, ensuring trustworthy usage for enterprise applications.

Description

Mistral Large stands as the premier language model from Mistral AI, engineered for sophisticated text generation and intricate multilingual reasoning tasks such as text comprehension, transformation, and programming code development. This model encompasses support for languages like English, French, Spanish, German, and Italian, which allows it to grasp grammar intricacies and cultural nuances effectively. With an impressive context window of 32,000 tokens, Mistral Large can retain and reference information from lengthy documents with accuracy. Its abilities in precise instruction adherence and native function-calling enhance the development of applications and the modernization of tech stacks. Available on Mistral's platform, Azure AI Studio, and Azure Machine Learning, it also offers the option for self-deployment, catering to sensitive use cases. Benchmarks reveal that Mistral Large performs exceptionally well, securing its position as the second-best model globally that is accessible via an API, just behind GPT-4, illustrating its competitive edge in the AI landscape. Such capabilities make it an invaluable tool for developers seeking to leverage advanced AI technology.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

IBM watsonx.ai Yes 
AiAssistWorks No 
C# No 
Clojure No 
Expanse No 
GaiaNet No 
Groq No 
Kotlin No 
Literal AI No 
Mammouth AI No 
Microsoft Foundry Agent Service No 
Mirascope No 
OpenPipe No 
Pipeshift No 
Prompt Security No 
PromptPal No 
Python No 
R No 
Scala No 
Verta No 

Integrations

IBM watsonx.ai Yes 
AiAssistWorks Yes 
C# Yes 
Clojure Yes 
Expanse Yes 
GaiaNet Yes 
Groq Yes 
Kotlin Yes 
Literal AI Yes 
Mammouth AI Yes 
Microsoft Foundry Agent Service Yes 
Mirascope Yes 
OpenPipe Yes 
Pipeshift Yes 
Prompt Security Yes 
PromptPal Yes 
Python Yes 
R Yes 
Scala Yes 
Verta Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/granite

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai

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