The Hidden Humans in the Loop Behind Quality GenAI
Generative AI (GenAI) is unlocking a new frontier of possibilities —and transforming how we build AI. But even with large language models (LLMs) capable of labeling datasets at remarkable speed, the need for experienced human annotators and effective annotation guidelines is crucial for ensuring data quality. However, the role of humans in GenAI goes beyond […]
What is Natural Language Processing?
Natural Language Processing (NLP) for short refers to the manipulation of speech and text by software.
Understanding the Data Side of Machine Learning
There are many different types of learning that you may encounter as a practitioner in the field of machine learning — here are some of the most important.
Establishing Ground Truth Data
Ground truth data is the objective, provable data used to train, validate and test models. It is directly related to the task that needs to be achieved. AI cannot set the objectives. It is the job of humans.
Understanding Synthetic Data
With businesses looking for more and more data to enable machine learning, many are turning to synthetic data to fill in the gaps.
The Importance of Linguistic Diversity in AI and ML
Linguistic diversity in AI means more access, inclusion, and use cases for everyone who benefits from machine learning.
The Machine Learning Workflow
Any given machine learning workflow defines which phases are implemented, and how, during a ML project.
Conversational AI for Customer Service
Across all industries, conversational AI for customer service and success is used to cut costs and increase client and prospect engagement.
Goals of Medical Image Annotation
Medical image annotation saves time and lives. Learn more about its use cases.