Another option for improving a gen AI app's performance is retrieval augmented generation(RAG), a technique for extending the foundation model to use relevant sources outside of the training data to refine the parameters for greater accuracy or relevance. Benefits of AI AI offers numerous benefits...
Another option for improving a gen AI app's performance is retrieval augmented generation(RAG), a technique for extending the foundation model to use relevant sources outside of the training data to refine the parameters for greater accuracy or relevance. Benefits of AI AI offers numerous benefits...
Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources of knowledge to improve the quality of responses. This natural language processing (NLP) technique is commonly used to make large language models (LLMs) more accurate and up to date. LLMs are AI ...
Generative AI is a kind of artificial intelligence technology that relies on deep learning models trained on large data sets to create new content.
RAG isn’t the only technique used to improve the accuracy of LLM-based generative AI. Another technique is semantic search, which helps the AI system narrow down the meaning of a query by seeking deep understanding of the specific words and phrases in the prompt. Traditional search is focuse...
The technology, it should be noted, is not brand-new. Generative AI was introduced in the 1960s in chatbots. But it was not until 2014, with the introduction ofgenerative adversarial networks, or GANs -- a type of machine learning algorithm -- that generative AI could create convincingly ...
So, What Is Retrieval-Augmented Generation (RAG)? Retrieval-augmented generationis a technique for enhancing the accuracy and reliability of generative AI models with information fetched from specific and relevant data sources. In other words, it fills a gap in how LLMs work. Under the hood, LL...
When not rigorously managed, LLMs may present security challenges by, for example, using sensitive or private information in a response. An AI technique called retrieval-augmented generation (RAG) can help with some of these issues by improving the accuracy and relevance of an LLM’s output. ...
What Is Speech AI vs. Conversational AI? Speech AI components typically form part of a larger voice-basedconversational AIsystem, which combines various technologies such as automatic speech recognition,large language model(LLM) enhanced withretrieval-augmented generation(RAG), and text-to-speech to ...
Essentially, the AI model is given access to a database that contains the accurate information it needs to do its job. For example, RAG is being used to create AI tools that can cite actual case law (and not just make things up) or respond to customer queries using information from ...