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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
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
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
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
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