Retrieval-augmented generation (RAG) is a hybrid AI approach that combines retrieval-based methods with generative models to improve the quality and accuracy of generated content. This approach benefits tasks requiring factual accuracy and natural language generation, such as question-answering, summarization, or generating content based on specific knowledge. How RAG Works: RAG integrates two core components: Retrieval… Continue reading Retrieval-Augmented Generation (RAG)
Tag: LLMOps
AI, Generative AI and LLMOps
Artificial Intelligence (AI) is a field of computer science and technology that aims to enable computers and machines to simulate human learning, comprehension, problem-solving, decision-making, creativity, and autonomy. It involves systems’ ability to make decisions, process vast amounts of data, and adapt over time based on the information they receive. AI can range from simple… Continue reading AI, Generative AI and LLMOps