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Description

We are thrilled to present DBRX, a versatile open LLM developed by Databricks. This innovative model achieves unprecedented performance on a variety of standard benchmarks, setting a new benchmark for existing open LLMs. Additionally, it equips both the open-source community and enterprises crafting their own LLMs with features that were once exclusive to proprietary model APIs; our evaluations indicate that it outperforms GPT-3.5 and competes effectively with Gemini 1.0 Pro. Notably, it excels as a code model, outperforming specialized counterparts like CodeLLaMA-70B in programming tasks, while also demonstrating its prowess as a general-purpose LLM. The remarkable quality of DBRX is complemented by significant enhancements in both training and inference efficiency. Thanks to its advanced fine-grained mixture-of-experts (MoE) architecture, DBRX elevates the efficiency of open models to new heights. In terms of inference speed, it can be twice as fast as LLaMA2-70B, and its total and active parameter counts are approximately 40% of those in Grok-1, showcasing its compact design without compromising capability. This combination of speed and size makes DBRX a game-changer in the landscape of open AI models.

Description

Kanerika's AI Data Operations Platform, Flip, simplifies data transformation through its low-code/no code approach. Flip is designed to help organizations create data pipelines in a seamless manner. It offers flexible deployment options, an intuitive interface, and a cost effective pay-per-use model. Flip empowers businesses to modernize IT strategies by accelerating data processing and automating, unlocking actionable insight faster. Flip makes your data work harder for you, whether you want to streamline workflows, improve decision-making or stay competitive in today's dynamic environment.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon S3 No 
Azure Blob Storage No 
Box No 
Cogent DataHub Yes 
Double Yes 
GPT-3.5 Yes 
GPT-4 Yes 
Google Cloud BigQuery No 
Google Cloud Spanner No 
Google Cloud Storage No 
Google Drive No 
Microsoft Fabric No 
Microsoft OneDrive No 
Microsoft Outlook No 
QuickBooks Online No 
Rayven Yes 
Visplore Yes 
ZenML Yes 
Zoho CRM No 

Integrations

Amazon S3 Yes 
Azure Blob Storage Yes 
Box Yes 
Cogent DataHub No 
Double No 
GPT-3.5 No 
GPT-4 No 
Google Cloud BigQuery Yes 
Google Cloud Spanner Yes 
Google Cloud Storage Yes 
Google Drive Yes 
Microsoft Fabric Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
QuickBooks Online Yes 
Rayven No 
Visplore No 
ZenML No 
Zoho CRM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1614/month
$1614 to 2709 per month
Free Trial Yes 
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 No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Databricks

Country

United States

Website

www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm

Vendor Details

Company Name

Kanerika

Founded

2015

Country

United States

Website

kanerika.com

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

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