In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...
As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
April 11, 2024 — Cohere today unveiled its latest foundation model, Rerank 3. In this blogpost, Sylvie Shi and Nils Reimers detail how this innovative model is set to advance enterprise search and ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...
Artificial intelligence (AI) is revolutionizing digital advertising, enabling brands to deliver personalized and engaging experiences at scale. However, despite the advancements in generative AI, one ...
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Fine-Tuned AI Models and Smart Retrieval Power Next-Generation QA Systems for Building Codes
A new study shows how pairing effective retrieval methods with fine-tuned AI models can transform the way professionals query building codes, replacing tedious manual searches with smarter, more ...
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