Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Codestral Embed marks Mistral AI's inaugural venture into embedding models, focusing specifically on code and engineered for optimal code retrieval and comprehension. It surpasses other prominent code embedding models in the industry, including Voyage Code 3, Cohere Embed v4.0, and OpenAI’s large embedding model, showcasing its superior performance. This model is capable of generating embeddings with varying dimensions and levels of precision; for example, even at a dimension of 256 and int8 precision, it maintains a competitive edge over rival models. The embeddings are organized by relevance, enabling users to select the top n dimensions, which facilitates an effective balance between quality and cost. Codestral Embed shines particularly in retrieval applications involving real-world code data, excelling in evaluations such as SWE-Bench, which uses actual GitHub issues and their solutions, along with Text2Code (GitHub), which enhances context for tasks like code completion or editing. Its versatility and performance make it a valuable tool for developers looking to leverage advanced code understanding capabilities.
Description
A new and efficient method has emerged for delivering intelligent 3D data that enhances productivity and facilitates effective problem-solving. This approach encompasses both dynamic and static dimensions, alongside a structured hierarchy and various properties of 3D models. Intratech’s Smart 3DPDF exporter is designed specifically for the engineering, procurement, and construction (EPC) sectors as well as the shipbuilding industry. By utilizing Smart 3D PDF technology, the risk of drawing inaccuracies and misinterpretations by end-users is significantly reduced. The 3D model PDFs, complete with dimensions and labels, can be easily accessed using the widely available Adobe Reader when converted through Intratech software. The feature that allows users to examine the hierarchy and properties of the drawings, along with both static and dynamic dimensions, empowers even those with limited experience to grasp essential installation details intuitively. Furthermore, automating the creation of dimensions and labels within the 3D PDF format minimizes the manual effort needed to provide information in traditional 2D formats. Consequently, 3D PDFs containing fundamental installation details, such as dimensions and labels, allow operators to efficiently and effectively search for the precise information they require. This innovative solution not only streamlines processes but also enhances overall clarity and understanding in complex projects.
API Access
Has API
API Access
Has API
Integrations
AVEVA E3D Design
Adobe Analytics
AutoCAD Plant 3D
GitHub
Mistral AI
Mistral Code
Navisworks
Revit
SmartPlant
WebGL
Integrations
AVEVA E3D Design
Adobe Analytics
AutoCAD Plant 3D
GitHub
Mistral AI
Mistral Code
Navisworks
Revit
SmartPlant
WebGL
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
Mistral AI
Founded
2023
Country
United States
Website
mistral.ai/news/codestral-embed
Vendor Details
Company Name
Intratech
Country
Republic of Korea
Website
intratech3d.com
Product Features
Product Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking