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Aug 14, 2024
Adding noise improves RAG performance
Learn how adding noise can improve RAG performance by enhancing retrieval diversity and boosting accuracy in AI model responses.
Cobus Greyling
Cobus Greyling
Aug 12, 2024
Corrective RAG: Boosting response quality
Learn how Corrective RAG (Corrective Retrieval-Augmented Generation, CRAG) uses a retrieval evaluator and web search to fix bad retrievals and improve RAG reliability.
Cobus Greyling
Cobus Greyling
Jul 30, 2024
Create a better travel experience for passengers
Create better passenger travel experiences with AI-driven support, seamless interactions, and personalized services across every journey touchpoint.
Cooper Lower
Cooper Lower
Jul 26, 2024
No-code deployment and orchestration of open-sourced foundation models
These models are automatically exposed via an API, or can be incorporated and orchestrated in a RPA flow.
Cobus Greyling
Cobus Greyling
Jul 25, 2024
Safeguarding small businesses from AI errors
How GenAI hallucinations harm small businesses and startups, and how to prevent them using advanced AI.
Zach Spirer
Zach Spirer
Jul 22, 2024
Prompt-RAG: Vector embedding free retrieval-augmented generation
Prompt-RAG certainly has limitations, but in selected instances, Prompt-RAG will serve well as an alternative to the conventional vector embedding RAG methods.
Cobus Greyling
Cobus Greyling
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