Insights, tips, and product updates

AI document analysis helps businesses to process more documents at greater speeds, uncover patterns within data, combat fraud, and reduce errors.

Even with the advancements in AI, information extraction remains fraught with challenges. In this article, we will tackle the challenges of information extraction and the possible solutions to overcome them.

The use of artificial intelligence (AI) has become widespread. In today's world, artificial intelligence can be found in just about every aspect of technology, including vehicle insurance.

Master the best practices for data labeling, understand the impact of high quality data, and elevate your AI applications in the insurance industry.

Banks are amongst the most regulated establishments in the world. Discover how LCL built a powerful ID information extraction algorithm using Kili Technology to classify the IDs of their customers.

Named entity recognition & text classification are used to help companies understand and process natural language automatically. Read on to learn how.

Large Language Models for named entity recognition are a powerful tool that can save time and resources. Learn how to leverage the power of pre-trained language models with appropriate prompt design to perform NER on any named entity category without requiring task-specific training data.

Intelligent Document Processing (IDP) minimises human errors by automating data entry. Please continue reading to learn more about what IDP is, how it works and its benefits for modern enterprises.

Large Language Models for named entity recognition are a powerful tool that can save time and resources. Learn how to leverage the power of pre-trained language models with appropriate prompt design to perform NER on any named entity category without requiring task-specific training data.

What's the best data labeling services price that machine learning teams could ask for? We compare 8 top labeling providers for answers.

With the constant rise and use of technology, Artificial Intelligence (AI) has become a great companion to compliance. Compliance is one of the biggest playing fields and plays a pivotal role in banking institutions. How can you as a business maximize its value?

Unlock the true potential of Chat GPT! Explore its inner workings and abilities, discover pro-tips for effective prompting, and learn how to leverage LLMs for optimal labeling. Uncover its potential as a labeler, QA programmer, and asset creator while understanding its limitations.

This blog post delves into the essence of fine-tuning LLMs, drawing insights from our recent webinar and presentation on the subject.

Discover the power of Large Language Models (LLMs) in practical applications and learn how to evaluate them using Kili Technology. Delve into our webinar recap on building conversational engines with LLMs.

Thinking about using a foundation model for your ML tasks? Here are three ways you can adapt them to fit your needs.

Meta's Llama 2: Revolutionizing data labeling with advanced language understanding and AI-human synergy for efficient workflows.

Is data labeling still relevant for large language models? Let's explore the mutual-beneficial relationship between data labeling and large language models.

Unlock the Power of AI with Quality Training Data! Discover key insights and a free eBook from O'Reilly on building effective training datasets for AI success. Download now!

Explore the power of GPT and SAM foundation models for advanced labeling automation. Improve data labeling efficiency and quality, understand the value of foundation models, and utilize them practically with Kili Technology's platform.

Discover the limitations of models like SAM and GPT. Explore strategies to enhance their output quality and reduce biases. Fine-tune with Kili for better results.