Understanding LLM Limitations and the Advantages of RAG

Understanding LLM Limitations and the Advantages of RAG

Navigating the Limitations of Large Language Models: Understanding Outdated Information, Lack of Data Sources, and the Comparative Advantages of Retrieval-Augmented Generation (RAG) Introduction In the rapidly evolving field of artificial intelligence, Large Language...
Machine Learning and AI: Embeddings

Machine Learning and AI: Embeddings

In the world of machine learning (ML) and artificial intelligence (AI), “embeddings” refer to dense, low-dimensional, yet informative representations of high-dimensional data. These representations are used to capture the essence of the data in a form that...
Machine Learning: History, Concepts, and Application

Machine Learning: History, Concepts, and Application

Brief History and Early Use Cases of Machine Learning Machine learning began shaping in the mid-20th century, with Alan Turing’s 1950 paper “Computing Machinery and Intelligence” introducing the concept of machines learning like humans. This period...