LLM And RAG

Financial services, technology, and healthcare customers are interested in AI because of its benefits, also advances their areas of expertise

Enterprises are eager to embrace large language models (LLM) and retrieval augmented generation (RAG), two related fields of artificial intelligence

RAG optimises an enterprise's fundamental knowledge and databases for informed decision-making

The technique that basically optimizes the output of a large language model is called RAG, or retrieval augmented generation

Numerous novel applications and use cases, such as ChatGPT, are assisting in the transformation of businesses across numerous industries

Zen Core Architecture-based AMD EPYC, Ryzen, and other CPUs support AI model, application, and use case development

LLMs are AI models trained on massive datasets to read and write like people

RAG is a hybrid model that combines external retrieval system and LLMs

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