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Large language models excel at In-Context Learning (ICL)
Learn how Large Language Models (LLMs) excel at In-Context Learning (ICL) to improve accuracy, reduce hallucinations, and enhance RAG-based AI applications.
Cobus Greyling
AI decision making : Future, examples & impact
Discover how AI decisioning is revolutionizing industries from healthcare to logistics with data-driven insights and automated decision-making processes.
Team Kore.ai
DRAGIN: Dynamic RAG based on real-time information needs of LLMs
Learn about DRAGIN, a lightweight framework for dynamic RAG that enables LLMs to retrieve information based on real-time needs without further training.
Cobus Greyling
A study comparing RAG & Fine-Tuning for knowledge base use-cases
This study illustrates again that the use-case informs & dictates the technology.
Cobus Greyling
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