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New open-source evaluation framework quantifies RAG pipeline performance with scientific metrics, helping enterprises cut through the AI hype cycle with objective measurements.
Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...
Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...
When generative AI emerged, Visa saw this as a perfect use case, applying retrieval-augmented generation (RAG) to not only pull out information up to 1,000X faster, but cite it back to its sources ...
To meet objectives like these, users of generative AI are looking to retrieval-augmented generation (RAG) environments for improved contextual results, actionable data, and reduced time to ...
Where organisations can set themselves apart is by developing a tailored and targeted AI strategy that boasts an abundance of helpful functions, while adding genuine value throughout their operations.
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