Now rebranded as Mosaic AI, the platform has become integral to Databricks’ AI solutions.
Today, at the company’s Data + AI Summit, it is launching a number of new features for the service.
Databricks is launching five new Mosaic AI tools at its conference: Mosaic AI Agent Framework, Mosaic AI Agent Evaluation, Mosaic AI Tools Catalog, Mosaic AI Model Training, and Mosaic AI Gateway.
And we’ve also found in our internal AI applications, like the assistant applications for our platform, that this is the way to build them,” he said.
But when you really pushed people, they were using Open AI.
Dubbed ‘Caracal,’ this new release emphasizes new features for hosting AI and high-performance computing (HPC) workloads.
Indeed, as the OpenInfra Foundation announced this week, its newest Platinum Member is Okestro, a South Korean cloud provider with a heavy focus on AI.
But Europe, with its strong data sovereignty laws, has also been a growth market and the UK’s Dawn AI supercomputer runs OpenStack, for example.
“All the things are lining up for a big upswing and open-source adoption for infrastructure,” OpenInfra Foundation COO Mark Collier told TechCrunch.
That’s in addition to networking updates to better support HPC workloads and a slew of other updates.
A fledgling Dutch startup wants to help companies extra data from large volumes of complex documents where accuracy and security is paramount — and it has just secured the backing of Google’s Gradient Ventures to do so.
How it worksCompanies can access Send AI’s cloud-based software via APIs which funnels data from documents sent over email.
Upon receipt, Send AI visually enhances the documents before sending to its language models for classification and extraction.
In terms of pricing, Send AI charges on a credit-based basic, whereby customers pay per processing-step.
Send AI attempts to address such concerns by deploying small, isolated open source transformer models for each customer.
Log4j, maybe more than any other recent security issue in recent years, thrust software supply chain security into the limelight, with even the White House weighing in.
Some of those may be in libraries that aren’t even used when the container is in production, but they are vulnerabilities nevertheless.
According to Slim.ai‘s latest Container Report, the average organization now deploys well over 50 containers from their vendors every month (and almost 10% deploy more than 250).
Yet only 12% of the security leaders who responded to Slim.ai’s survey said they were able to achieve their own vulnerability remediation goals.
Most companies see some disruptions multiple times a week because they detect a vulnerability in a production container, for example.
In search of one, they founded Giga ML, a startup building a platform that lets companies deploy LLMs on-premise — ostensibly cutting costs and preserving privacy in the process.
“Giga ML addresses both of these challenges.”Giga ML offers its own set of LLMs, the “X1 series,” for tasks like generating code and answering common customer questions (e.g.
But it’s tough to say how X1 compares qualitatively; this reporter tried Giga ML’s online demo but ran into technical issues.
Even if Giga ML’s models are superior in some aspects, though, can they really make a splash in the ocean of open source, offline LLMs?
“Giga ML’s mission is to help enterprises safely and efficiently deploy LLMs on their own on-premises infrastructure or virtual private cloud,” Vummadi said.
Lolli, a bitcoin and cashback rewards application, has raised an $8 million Series B round, TechCrunch has exclusively learned.
Its rewards program awards its users with bitcoin or cashback when they shop online or in person at restaurants and stores.
The app gives up to 30% back on purchases, with an average of 7% back in bitcoin or cashback rewards.
Since its inception, Lolli has given over $10 million in bitcoin rewards, in addition to cashback rewards, Adelman said.
The company plans to use the momentum in the markets to “drive more revenue to partners and bring more major companies into offering bitcoin rewards,” Adelman said.
In 2020, the startup raised $27.5 million in its Series E funding round led by Alphabet’s CapitalG.
It competes with the likes of Capital Float, Lendingkart and Indifi, which all work toward offering credit to small enterprises in the South Asian nation.
One key reason for startups like Aye Finance and others to gain enough traction in India is the lack of credit for small businesses.
“Aye Finance is on a growth journey, and we are delighted to partner with BII, who have a deep understanding of the financial services sector in India.
“Our investment in Aye Finance underscores our commitment to back companies that have a strong development impact philosophy and promote financial inclusion for India’s underserved groups.
