Konfuzio Lab

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We are pleased to announce that Konfuzio Lab in this article.

Konfuzio Lab enables granular insights and increases the traceability of AI training. External models, e.g. from the open source community, can be adapted in Konfuzio using your own data.

Tracking AI Training

The Konfuzio platform, which is manufactured in Germany, offers companies a self-sufficient Enterprise AI software to train your own AI models that can process unstructured data in the form of images, text and sound - and now offers even more functions to increase the efficiency and automation of your business processes.

Increased transparency for AI training runs

Konfuzio Lab gives companies new ways to effectively train and monitor their AI models. One of the outstanding features is the ability to Training metrics in real time to track. You can visualize key metrics such as accuracy and loss during training, which helps you make informed decisions about the quality of your models.

This transparency makes it possible for companies to adapt and improve their AI models in order to achieve the best possible results when processing documents. This enables you to realize the full potential of AI in areas such as Document splitting and Categorization to control the design of your processes at the highest level of efficiency.

Use case - Training an AI to automatically separate documents

Product update: New opportunities for companies through AI-driven document processing
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Many companies use large documents such as contracts or reports that need to be split into smaller sections. In this use case, the new Konfuzio Lab offers the possibility of finding the best AI model for the Automated splitting of documents to select. The DVUI also allows a Implementing a human-in-the-loop approach. The AI model learns from people and incorporates their feedback. This saves time and ensures consistency in processing, which is particularly important for companies in the Law, Financial services or Personnel management is a decisive advantage.

Train the best AI

Konfuzio Lab offers companies the opportunity to train AI models for a wide range of application scenarios. For example, the automated categorization function incoming documents are routed correctly. This is particularly important for companies that work with a variety of document types on a daily basis. The AI model can be trained to automatically recognize and categorize different document types, eliminating manual steps and increasing the accuracy of document processing.

Training and test data management for higher model performance

Another key feature that has long been part of the Konfuzio platform has been given a new lease of life with the introduction of Konfuzio Lab: the Management of training and test data. Divide your data into training and test sets. This not only trains the AI model effectively, but also tests it on unknown data. This approach ensures that the models are robust and respond well to real-world use cases. This also means that automatic quality tests are carried out before a new version of your AI goes into productive use.

In Konfuzio Lab, the control of a new AI training is now even easier. This makes the models better and more reliable to use in practice.

Advanced visualization of training progress

With Konfuzio Lab you now get detailed insights into the training progress of your AI models. The new dashboard offers a Real-time visualization of metrics such as the F1 score. This is a measure of the precision and accuracy of your model.

Various metrics are available. The bundle of these metrics increases the analysis spectrum during training and thus leads to the improvement of your models.

With the Comparison function Between training runs, you can immediately see which model achieves the best results. This allows you to adjust configurations and parameters to select the optimum model for productive use.

Analysis and optimization of models using parallel coordinates

One of the most exciting new features in Konfuzio Lab is the use of parallel analyses. This allows you to compare several training runs and model configurations at the same time. This method is particularly useful when testing and analyzing different AI models. This allows you to quickly find the model that delivers the best results.

Parallel coordinates

You can Parameters like Learning rate, Loss and Training time together with the model metrics and quickly sort out less successful configurations. This allows you to quickly make an informed decision on the best configuration.

Complete integration into existing workflows

Another must-have for companies is the seamless Integration of Konfuzio Lab into existing AI training workflows. This allows companies to improve their established processes with AI and also benefit from the advantages of artificial intelligence in existing processes.

Use Konfuzio Lab to make your document processing and analysis more efficient and future-proof. The feature enables you to significantly improve automation and precision in your business processes.

Let's talk about how we can work together to optimize your workflows and take your organization to the next level. Contact now!

Conclusion - Konfuzio Lab offers transparency during the training of AI

Konfuzio Lab offers a variety of new options for high-quality training of your own AI. These include

  • Finetuning - Optimization of existing AI models by adjusting model parameters.
  • Better understanding of the training of AI models - for optimum results.
  • Versioning - Visual traceability of the accuracy of trained models.

With high-quality AI models, companies benefit from increased efficiency and high-quality process results.

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