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Chain-of-Symbol prompting (CoS) for LLMs
LLMs need to understand a virtual spatial environment described through natural language while planning & achieving defined goals in the environment.
Cobus Greyling
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.
Team Kore.ai
Concise Chain-of-Thought (CCoT) prompting
Learn how Concise Chain-of-Thought (CCoT) prompting reduces LLM response verbosity and token costs while maintaining high accuracy in reasoning tasks.
Cobus Greyling
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
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