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How AI is redefining work productivity in enterprises

Learn how enterprises are applying AI to daily work, from analytics and content creation to automation. Explore use cases, challenges, and investment priorities.

Oct 17, 2025

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Mar 28, 2025
What is RAG - Retrieval-Augmented Generation ?
Get a clear explanation of RAG, its benefits, and how it combines retrieval and generation for smarter AI responses.
Juhi Tiwari
Juhi Tiwari
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
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

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