Artificial Intelligence

Artificial Intelligence

37 posts
Retrieval-Augmented Generation (RAG): The Key to Smarter AI Responses

Retrieval-Augmented Generation (RAG): The Key to Smarter AI Responses

Introduction Retrieval-Augmented Generation (RAG) is an advanced technique in natural language processing that enhances language models by enabling them to retrieve external information in real time. This leads to more accurate and context-aware responses, making RAG ideal for tasks that require up-to-date or domain-specific knowledge, such as customer support, enterprise...

Generative AI - Why now?

Generative AI - Why now?

Introduction In this tutorial, we want to explain why Generative AI (GenAI) is possible now. In order to do this, we describe the key factors that are responsible for the rise of Generative AI. Factors The key factors that enable Generative AI are availability of large datasets, computational power, and...

Supervised vs. Unsupervised Learning

Supervised vs. Unsupervised Learning

Introduction Machine Learning can be divided into two main types: Supervised Learning and Unsupervised Learning. In this tutorial, we want to take a closer look to these approaches and compare them to each other. Overview Both supervised learning and unsupervised learning have their own characteristics and are suitable for solving...

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