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Mar 17, 2025
Meta taxonomy of LLM correction & refinement
Explore a meta taxonomy of LLM correction and refinement techniques to improve response quality, reduce errors, and enhance model reliability.
Cobus Greyling
Cobus Greyling
Mar 14, 2025
Considering large language model reasoning step length
When using Chain of Thought, what is the optimal number of steps to use?
Cobus Greyling
Cobus Greyling
Mar 12, 2025
Chain Of Natural Language Inference (CoNLI)
Hallucination is categorised into subcategories of Context-Free Hallucination, Ungrounded Hallucination & Self-Conflicting Hallucination.
Cobus Greyling
Cobus Greyling
Mar 6, 2025
Autonomous AI agents: The future of workplace
Autonomous AI agents streamline workflows, enhance productivity, and empower employees to focus on high-value work while businesses scale with AI for Work.
Akhil Ganji
Akhil Ganji
Mar 5, 2025
Enterprise search: Definition & benefits
Enterprise search connects employees to the right information across every system in seconds. Learn how AI-powered enterprise search works, its key use cases, and why Kore.ai takes it further with agentic retrieval.
 Parshant Khetarpal
Parshant Khetarpal
Mar 3, 2025
Validating low-confidence LLM generation
Learn how Kore.ai detects and corrects low-confidence LLM outputs using a real-time certainty model, entity extraction, and retrieval to reduce hallucinations.
Cobus Greyling
Cobus Greyling
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