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How AI in the workplace is rewriting enterprise culture

AI in the workplace helps enterprises reshape cultures by making work lighter, learning faster, and where people spend less time managing and more time doing more.

Feb 2, 2026

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Mar 28, 2025
Chain-of-Symbol Prompting (CoS) For Large Language Models
Chain-of-Symbol Prompting (CoS) For Large Language Models LLMs need to understand a virtual spatial environment described through natural language while planning & achieving defined goals in the environment.
Cobus Greyling
Cobus Greyling
Mar 28, 2025
Re:imagine 2025: Empowering leaders to transform business with AI
Join us at Kore.ai re:imagine 2025, where we'll unveil the latest in AI technology, agentic AI, and AI agents to streamline your enterprise.
Raj Koneru
Raj Koneru
Mar 27, 2025
Concise Chain-of-Thought (CCoT) Prompting
Traditional CoT comes at a cost of increased output token usage, CCoT prompting is a prompt-engineering technique which is aimed at reducing LLM response verbosity & inference time.
Cobus Greyling
Cobus Greyling
Mar 24, 2025
Understanding LLM User Experience & Expectation
This study surfaces valuable insights into the frequency of LLM use together with user intents, expectations and experience.
Cobus Greyling
Cobus Greyling
Mar 17, 2025
Meta Taxonomy Of LLM Correction & Refinement
A number of LLM techniques and classes of implementation are emerging, a recent study created a meta taxonomy of approaches and techniques on how to improve and correct LLM output.
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

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