AI solves everything. Well, it might do one day, but for now, claims being lambasted around in this direction may be a little overblown in places, with some of the discussion perhaps only (sometimes ...
As artificial intelligence (AI) continues to evolve at breakneck speed, enterprise leaders face a crucial shift in how they think about AI. The conversation is no longer dominated by which ...
Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...
Contextual AI Inc., a startup that helps enterprises build retrieval-augmented generation artificial intelligence applications, has closed a $80 million Series A round to support its commercialization ...
AI agents are all the rage. Companies are eager to put them to work, and providers are racing to capitalize on the demand. But as often happens, the market’s enthusiasm is outpacing its understanding.
Startup RapidFire AI Inc. today released an open-source software package aimed at simplifying the development of the pipelines that are increasingly central to enterprise artificial intelligence ...
Image: John Tredennick, Merlin Search Technologies with AI. As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating the ...
Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...
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Why AI and RAG need document management
There’s growing interest in making AI more practical, especially through techniques like retrieval-augmented generation (RAG). And it’s not just AI developers or enterprise tech teams who see the ...
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