Enter retrieval-augmented generation (RAG), a framework that’s here to keep AI’s feet on the ground and its head out of the clouds. RAG gives AI a lifeline to external, up-to-date sources of ...
Whether minor or major inaccuracies, these errors can cause serious issues in a business context, from poor decision-making to a total lack of trust in the AI model. One breakthrough method to counter ...
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 ...
For developers, this means you can now build highly customized AI models without breaking the bank — whether through distillation, fine-tuning or simple RAG implementations. Distillation ...
Custom RAG is an AI architecture that combines retrieval based systems with generative AI models. In layman terms, what it means is that It bridges the gap between static knowledge repositories ...
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