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accuracy

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Intermediate

Self-Consistency: Get Better Answers by Sampling Multiple Reasoning Paths

Self-consistency generates multiple chain-of-thought responses and takes the majority vote. Learn how it dramatically improves accuracy on reasoning tasks and when to use it.

4 min read
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Intermediate

Generate Knowledge Prompting: Let the Model Teach Itself Before Answering

Generate Knowledge Prompting has the LLM produce relevant facts and context before answering a question — dramatically improving accuracy by giving the model a better foundation to reason from.

5 min read
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Safety

Hallucinations Deep Dive: Why AI Confidently Gets Things Wrong

LLMs hallucinate — generating plausible-sounding but false information. Learn why hallucinations happen, which types of content are highest-risk, and practical techniques to minimize them.

5 min read
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Intermediate

Avoiding Hallucinations: Keep AI Grounded in Facts

Learn what causes AI hallucinations and the specific prompting techniques that dramatically reduce fabricated facts, fake citations, and confidently wrong answers.

5 min read
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