Advertisement

Generative AI vs. Traditional AI

Traditional AI, also known as “classical AI,” is known for being rule-based and dependent on stringent programming for its intended output. These techniques revolve around the manipulation of symbols and logical reasoning to perform tasks.  Key methodologies include rule-based systems, where knowledge is encoded in the form of “if-then” statements, enabling machines to make decisions […]

3 Examples of LLM Use in Business Intelligence

Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial […]

RAG: The Future of Reliable and Accurate Generative AI

Generative artificial intelligence (AI) has made significant strides, with models like GPT-4 demonstrating human-like language generation capabilities. Conventional generative models often need help delivering precise and current information. Retrieval augmented generation (RAG) addresses these limitations by incorporating real-time data retrieval into the generative process. Recent studies show that RAG models have achieved up to a 30 […]

The Overlooked Powerhouse: Leveraging Machine Learning Over Generative AI

Generative AI (GenAI) is dominating headlines, celebrated as a groundbreaking technology with vast potential. Beyond the initial (and warranted) excitement, however, a more balanced perspective reveals the substantial – often overlooked – value of another AI technology: traditional machine learning (ML). While generative AI garners attention for its creative capabilities, machine learning remains an unsung hero, utilizing […]