Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DeepFND is an advanced, intuitive software solution specifically designed for the comprehensive design of deep foundation piles, combining both geotechnical and structural calculations in a seamless environment. This innovative tool empowers engineers to accurately calculate the axial geotechnical pile capacity, encompassing factors like skin friction and end bearing, while also allowing for the assessment of settlement responses based on Standard Penetration Test (SPT) or Cone Penetration Test (CPT) data. Furthermore, users can conduct thorough lateral pile analyses, focusing on displacement, shear, and moment, through specified head-loads or pushover methods. The software facilitates the design of individual piles, pile groups, and even pile rafts, accommodating various custom pile-cap geometries. DeepFND supports a wide range of pile types, including drilled, driven, continuous flight auger (CFA), caissons, drilled-in-displacement, micropiles, and helical piles, and effectively models soil-structure interaction through either soil springs or a sophisticated 3D finite-element analysis. Additionally, it allows for structural evaluations under both service and factored load conditions, adhering to numerous international design codes such as ACI, AISC, Eurocodes, AS/NZS, Chinese Standards, and AASHTO LRFD, ensuring versatility and compliance across different engineering standards. With its robust features and user-centric design, DeepFND stands out as an essential tool for engineers involved in deep foundation projects.
Description
Stable LM represents a significant advancement in the field of language models by leveraging our previous experience with open-source initiatives, particularly in collaboration with EleutherAI, a nonprofit research organization. This journey includes the development of notable models such as GPT-J, GPT-NeoX, and the Pythia suite, all of which were trained on The Pile open-source dataset, while many contemporary open-source models like Cerebras-GPT and Dolly-2 have drawn inspiration from this foundational work. Unlike its predecessors, Stable LM is trained on an innovative dataset that is three times the size of The Pile, encompassing a staggering 1.5 trillion tokens. We plan to share more information about this dataset in the near future. The extensive nature of this dataset enables Stable LM to excel remarkably in both conversational and coding scenarios, despite its relatively modest size of 3 to 7 billion parameters when compared to larger models like GPT-3, which boasts 175 billion parameters. Designed for versatility, Stable LM 3B is a streamlined model that can efficiently function on portable devices such as laptops and handheld gadgets, making us enthusiastic about its practical applications and mobility. Overall, the development of Stable LM marks a pivotal step towards creating more efficient and accessible language models for a wider audience.
API Access
Has API
No
API Access
Has API
No
Integrations
Alpaca
No
Automi
No
Gopher
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
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
Deep Excavation LLC
Founded
2004
Country
United States
Website
www.deepexcavation.com/products/deepfnd-foundation-piles-software
Vendor Details
Company Name
Stability AI
Founded
2019
Country
United Kingdom
Website
stability.ai/
Product Features
Engineering
2D Drawing
No
3D Modeling
No
Chemical Engineering
No
Civil Engineering
No
Collaboration
No
Design Analysis
No
Design Export
No
Document Management
No
Electrical Engineering
No
Mechanical Engineering
No
Mechatronics
No
Presentation Tools
No
Structural Engineering
No