Menu
Painstaking, time consuming, human-error laden traditional data labeling just got an upgrade. Our unique Tasqers and the limitless reach of the Internet come together in a single, streamlined next generation data labeling solution that optimizes pricing, quality and scale. Elevate your data science teams far beyond what was previously thought possible through our Microtasking and Workflows:
If ‘an image is worth a thousand words’ and people can understand them in several ways, Tasq.ai has taken on the challenge of breaking down a single image into numerous data points that build the full story around the image. Each of these data points are presented to many trained humans for judgements and aggregated back to build the whole story behind the image. The method of using numerous human judgements on many data decision points enables us to assemble a more detailed and enriched story to the image. The enriched data is used to create structured datasets for training ML models in the fastest and most cost effective way. Richer, Faster, Better, More Cost Effective and by the way eliminating all stress related with the exhausting never ending procedures of labeling data.
Machine Learning models are constantly improved through training via high-quality datasets. The amount of data used to train a model, influences the subsequent improvement of the model’s prediction capabilities. We enable Machine Learning companies to improve their models faster, enabling them to be more competitive and lead their markets segments through: Diversity: access to geographical distributed multilingual Tasqers Reliability: ability to leverage multiple judgments for higher confidence Scale: simultaneous, online, unbiased workforce In short – by using a global, multilingual network of labelers, we solve the issue of fairness in AI.
We accelerate the data annotation process and create higher quality datasets, faster. In turn, you can train your Machine Learning models, reach precision levels and get to production… faster than ever before.
Adding additional layers of information to existing datasets is fast and seamless with our data enrichment solutions. Ongoing projects are incremental, supporting the growth of meta-data growth and details over time. Simply upload your data and enrich existing datasets with ease. No time wasted, no need to start from scratch.
The 57% Hallucination Rate in LLMs: A Call for Better AI Evaluation Author: Max Milititski
In a recent webinar, we showed how Tasq.ai’s LLM evaluation analysis led to a 71%
In the bustling world of ecommerce, where every click, view, and purchase leave a digital
