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Comparing human, LLM & LLM-RAG responses
A recent study, focusing on the healthcare & preoperative medicine compared expert human feedback with LLM generation and RAG enhanced responses.
Cobus Greyling
Designing conversational UIs that match user intent
In this article I illustrate how to achieve intent alignment by making use of the Kore.ai XO Platform Intent Discovery Tool.
Cobus Greyling
A benchmark for verifying chain-of-thought
A Chain-of-Thought is only as strong as its weakest link; a recent study from Google Research created a benchmark for Verifiers of Reasoning Chains
Cobus Greyling
Seven RAG engineering failure points
Explore the seven key failure points in engineering RAG systems, from missing content and retrieval errors to wrong formats and incomplete responses.
Cobus Greyling
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