Highlights:

  • ai claims that by centralizing the entire data process, its platform shortens the time it takes to develop AI models.
  • Another choice is offered by Tasq.ai, which gives businesses access to thousands of highly qualified experts known as “tasqers” who can assist with the various tasks necessary to create objective and accurate AI models.

Recently Tasq Technologies Ltd. announced the launch of a new service that can help

develop and optimize generative AI models at scale. The startup offers “human guidance” for annotation, data collection, and management tasks necessary to build artificial intelligence models.

Tasq.ai claims that by centralizing the entire data process, including data collection, labeling, and validation, and by giving businesses access to qualified experts who can help them fine-tune models to improve their performance, its platform shortens the time it takes to develop AI models.

Using human input to enhance AI systems’ effectiveness, accuracy, and fairness is known as “human guidance for AI.” Labeled data, feedback, and evaluation can be used to accomplish that, but careful attention to potential biases and issues with fairness is needed, for which only experts are qualified.

Massive amounts of data are used to train generative AI models like Google LLC’s Bard and OpenAI LP’s ChatGPT, which can produce human-like responses to nearly any question or prompt. When ChatGPT was introduced last year, there was a surge in interest in the technology, which has uses in various fields, including search, coding, writing, drug discovery, and more.

However, Tasq.ai claims that due to the enormous size of these foundation models, most businesses need help to benefit from generative AI. They are extremely challenging to build in the first place and expensive to host. The seemingly simple task of customizing an off-the-shelf model like ChatGPT for a particular use case can be very challenging. Many businesses need help to achieve successful results.

According to Nati Catalan, Co-founder and Chief Revenue Officer of Tasq.ai, foundation models can be relatively shallow when it comes to carrying out specialized tasks. “For example, they can draw up a very basic nondisclosure agreement, but they can’t assess the merit of a medical malpractice claim in a particular state with great accuracy. For specific businesses, it can’t integrate their inventory data, CRM insights, or help to schedule local contractors.” he said.

According to Catalan, the challenge with optimizing generative AI models is that businesses must objectively carry out difficult tasks, like data labeling, validation, and ranking. He said that while most companies traditionally outsource this work, doing so results in different outcomes because each task needs to be assigned to another provider.

Another choice is offered by Tasq.ai, which gives businesses access to thousands of highly qualified experts known as “tasqers” who can assist with the various tasks necessary to create objective and accurate AI models. Catalan said, “Tasq.ai is the first solution that centralizes the entire process. All the data labeling, validation, ranking, and refining happens in one place, saving weeks or months and money and ensuring that the results are more accurate and transparent.”

Catalan described Tasq.ai’s tasqers as motivated, prequalified people worldwide who have been selected based on their cognitive abilities to perform well in particular online tasks.

Catalan said, “Our tasqers can be accessed flexibly when companies need them, and they are from diverse backgrounds, which helps eliminate bias. The projects they are paired with are also based on their particular profiles, vis-a-vis performance and background. One of Tasq.ai platform’s unique features is to disassemble the complex labeling requirements into workflows of smaller simplified tasks that increase the chances for tasqers to succeed in.”

Companies that adopt generative AI quickly can gain a sizable first-mover advantage, according to Tasq.ai Chief Executive Erez Moscovich. With human guidance, businesses can customize generative AI models for various use cases while maintaining the highest level of service quality. Moscovich said, “It’s a game changer that finally allows companies to overcome the biggest bottleneck to unlocking the value that Generative AI creates.”