Large language models (LLMs) like OpenAI’s GPT-4 and Google’s PaLM have captured the imagination of industries ranging from healthcare to law. Their ability to generate human-like text has opened the ...
Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI RAG add information that the large language model should ...
As AI content pollutes the web, a new attack vector opens in the battleground for cultural consensus. Research led by a Korean search company argues that as AI-generated pages encroach into search ...
RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...
Search, as we know it, has been irrevocably changed by generative AI. The rapid improvements in Google’s Search Generative Experience (SGE) and Sundar Pichai’s recent proclamations about its future ...
Retrieval-augmented generation is enhancing large language models' accuracy and specificity. However, it still poses challenges and requires specific implementation techniques. This article is part of ...
Search is dead, long live search! Search isn’t what it used to be. Search engines no longer simply match keywords or phrases in user queries with webpages. We are moving well beyond the world of ...
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