Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Orby and Databricks Partner to Revolutionize Generative AI Automation for the Enterprise

orby-logo-300px.png

Orby AI (Orby), a technology trailblazer in generative AI solutions for the enterprise, today announced that it has partnered with Databricks, the Data and AI company, to empower a new era of enterprise automation powered by the industry’s first Large Action Model (LAM) from Orby.

Orby has now joined Databricks’ Built On Partner Program and is leveraging Databricks Mosaic AI to pretrain, build, deploy and monitor its innovative Large Action Model, ActIO, a deep learning model able to interpret actions and perform complex tasks based on user inputs.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

“As the demand for data intelligence increases, Orby’s AI innovations are a real game changer in enabling enterprise automations that require truly cognizant reasoning,” said Naveen Rao, VP of Generative AI at Databricks.

“Orby’s unique LAM approach gives organizations the ability to complete tasks with increasing complexity and variability, easily automating complex tasks that, until now, just hasn’t been possible or practical,” Rao concluded.

Related Posts
1 of 41,323

LARGE ACTION MODEL TAKING CENTER STAGE

Unlike conventional Large Language Model (LLMs) approaches, which focus on interpreting language and generating responses, Orby’s unique Large Action Model (LAM), observes actions to automate tasks and make decisions.

Orby’s LAM simply observes a user at work, learns what can be automated, and creates the actions to implement it. Users then approve the process and can modify the actions at any time, this allows continuous improvement as Orby learns more.

Making generative AI truly useful for the enterprise requires incredible amounts of variable inputs to enable rapid contextual reasoning. Today’s open source and proprietary LLMs are trained on massive amounts of data, but of only one modality: language. Other multimodal models may allow for variable inputs but lack the complex planning and visual grounding capabilities necessary to translate these inputs into enterprise-ready actions that reason, adjust, continuously learn and improve. Large Action Models are uniquely suited to empower enterprise efficiency, but first must be trained on massive amounts of data across multiple modalities.

“Databricks Mosaic AI makes it possible to build a multimodal training pipeline at a scale that is essential for delivering unrivaled performance, accuracy and stability,” said Will Lu, Co-Founder and CTO of Orby.

Also Read: AiThority Interview with Anand Pashupathy, Vice President & General Manager, Security Software & Services Division, Intel

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

Comments are closed.