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Blogs
Data Matters: Our thoughts and views on the state of digital data
What is Generative AI?
Discover Generative AI: a machine learning sub-field creating diverse content. Understand its components, workings, and applications.
What is Prompt Engineering for Generative AI?
Learn about the importance of prompt engineering in generative AI models and how it influences the quality of AI-generated content.
What is Retrieval Augmented Generation (RAG)?
Dive into AI’s exciting advancement, Retrieval Augmented Generation (RAG), and discover its mechanism, benefits, and applications.
How to Use Generative AI in Your Business
Unlock the power of Generative AI for your business success. Build custom models or leverage established ones to transform your operations.
Understanding Supervised Learning in Machine Learning
Supervised learning is a subcategory of AI and machine learning. Learn about how it works, and discover the applications and challenges.
Importance of Fine-Tuning Generative AI with High-Quality Data
Discover the importance of fine-tuning generative AI with high-quality data and how data governance can help.
Data Governance: The Key to High-Quality Training Data for AI Models
Effective data governance practices ensure high-quality, consistent, and secure data. Learn what data governance is, benefits, and best practices.
Quick Concepts: Importance of Ethical Data Collection
Learn about the importance of ethical data collection and how it impacts privacy, trust, and security. Discover key considerations and top ethical issues to ensure responsible data practices.
Preventing Hallucinations in AI
Explore the causes and implications of hallucinations in AI models. Learn about the latest strategies to minimize erroneous outputs and stay informed with our in-depth analysis and insights.
Quick Concepts: Generative AI Captioning
Discover the power of generative AI captioning in this Quick Concepts. Learn how it works, its use cases, and its benefits and limitations.