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Feb 7, 2025
Self-Consistency for Chain-Of-Thought prompting
Explore self-consistency for Chain-of-Thought prompting. Learn how this approach improves LLM accuracy by aggregating diverse reasoning paths for better logic.
Cobus Greyling
Cobus Greyling
Feb 6, 2025
DialogGPT Is forging a new path in AI understanding
DialogGPT is a genAI solution that transforms how AI agents engage with your customers. Let your agents become adaptable and context-aware.
Param Vora
Param Vora
Feb 5, 2025
The anatomy Of Chain-Of-Thought prompting (CoT)
Dive into the anatomy of Chain-of-Thought (CoT) prompting — how it works, why it improves LLM reasoning, and tips for writing effective CoT prompts.
Cobus Greyling
Cobus Greyling
Feb 3, 2025
Contrastive Chain-Of-Thought prompting
Contrastive Chain-Of-Thought Prompting Contrastive Chain-of-Thought Prompting (CCoT) uses both positive & negative demonstrations to improve LLM reasoning.
Cobus Greyling
Cobus Greyling
Jan 31, 2025
Open ai structured JSON output with adherence
Learn how OpenAI's Structured Outputs ensure strict model adherence to JSON schemas, enhancing reliability and consistency for enterprise AI applications.
Cobus Greyling
Cobus Greyling
Jan 30, 2025
The Chain-Of-X phenomenon In LLM prompting
Explore the ‘Chain-of-X’ phenomenon in LLM prompting, how CoT-style decomposition has evolved across reasoning, retrieval, verification, empathy & more.
Cobus Greyling
Cobus Greyling
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