Unstructured data-focused artificial intelligence startup Clarifai Inc. today announced the launch of Clarifai Community, a free service to promote collaboration and sharing in AI.
Clarifai is a well-funded startup that came up with the somewhat novel idea of helping companies use massive volumes of unstructured and unlabeled data to train AI models. The company has created several application programming interfaces for natural language processing, audio recognition, and other AI use cases.
With Clarifai, developers can access tools that allow them to use unstructured data to train their AI models. For example, the automated data labeling tool Scribe can automatically label data for model training. Meanwhile, Clarifai Spacetime Search uses AI to automatically index unstructured data for deep learning training.
It also provides an Edge AI service that overlays AI on data streams using local hardware such as cameras and drones. Last but not least, Clarifai’s AI Lake is a data lake specifically designed to store AI training data.
The new Clarifai Community service aims to encourage AI practitioners to share their resources and collaborate with each other to create new AI use cases. The company said it will serve as a distribution channel for AI, bringing together hundreds of useful resources in one place accessible through its APIs. In addition to Clarifai’s own models, users will be able to take advantage of those built by various hyperscalers, academic institutions and startups, the company said.
Clarifai chief executive Matt Zeiler said there are less than 100,000 data scientists worldwide who have the skills to build complex deep learning models, hence the need for more collaboration. and sharing. “Clarifai Community empowers the world’s 50 million software developers and even more non-technical users to solve the world’s toughest problems,” he said. “It’s a transformative idea.”
Using the Clarifai community interface and its drag-and-drop functionality, the company explained, users will be able to visually connect different AI models into powerful workflows. In this way, models and workflows can be viewed as “building blocks” that can be combined to create more powerful and useful AI applications, with Clarifai doing the integration behind the scenes. So not only does the Clarifai community encourage sharing and collaboration, but it saves teams time on the coding typically needed to create more complex AI models.
As an example, Clarifai said users can create a workflow that directs audio transcription into a text summary template to create a tool that can accurately summarize business meetings. This could then be taken to another level with the use of audio transcription templates for foreign languages, making it possible to create a translated summary of everything that was said in a meeting. The beauty of Clarifai Community is that once a workflow has been created and shared publicly, it will then be made available to all other members of the community.
Andy Thurai, vice president and principal analyst at Constellation Research Inc., said Clarifai’s main differentiator is that it caters not only to unstructured data, but also specifically to unlabeled data. This is useful because most companies can already build deep learning models with unstructured data. The problem, Thurai said, is that this unstructured data needs to be annotated, labeled and classified before it can be used, and that’s a major problem for most businesses.
“Clarifai claims to use AI to automatically label data. Although the accuracy rate is not yet known, it sounds compelling,” he said.
The analyst said Clarifai’s ability to label unstructured data, train the models, and then deploy them to the edge is also extremely compelling. Additionally, he believes its ability to index unstructured data to make it searchable may fill another black hole for many organizations.
Regarding today’s announcement, Thurai said it was an interesting idea to allow the community to create AI models and share them via public or controlled domains. “Other members of the community can use these templates as a base and recycle them, customizing these templates for their own needs, taking much less time to do so. It’s similar to the concept of a language transformer used by GTP3 and Jurassic-1, but it falls into the computer vision category,” he explained.
Alfredo Ramos, senior vice president of platform at Clarifai, said the company is redefining the way AI is distributed across organizations. “We make the world’s best AI resources available to everyone and empower people to contribute theirs for limitless collaboration using no-code tools accessible to all skill levels,” he said.