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Prompt pipelines
Learn how prompt pipelines orchestrate sequences of LLM events, automate data transformation, and enhance RAG workflows for enterprise AI applications.
Cobus Greyling
Active prompting with chain-of-thought for large language models
Learn how Active Prompting with Chain-of-Thought optimizes LLMs using uncertainty estimation and human annotation to improve reasoning accuracy and reliability.
Cobus Greyling
Teaching LLMs To say, “I don’t know”
Learn how teaching LLMs to say “I don’t know” improves trust and accuracy by reducing incorrect or misleading AI responses.
Cobus Greyling
Improving text embeddings with LLM generated synthetic data
Improve text embeddings using LLM-generated synthetic data to enhance semantic accuracy, retrieval performance, and downstream AI tasks.
Cobus Greyling
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