Tag: instruction tuning

Struggling to choose between instruction tuning and task-specific fine-tuning? Learn the key differences, costs, and when to use each strategy for your LLM project.

Master prompt engineering with clear, specific instructions. Learn how to use context, constraints, and examples to boost LLM output quality and accuracy.

Explore how next-gen LLMs master instruction following through SFT, DPO, AutoIF, and activation steering. Learn why models like GPT-4 and Llama-3 excel at complex tasks and what's next for AI alignment.

Recent-posts

Colorado SB24-205 Guide: AI Impact Assessments and Risk Management

Colorado SB24-205 Guide: AI Impact Assessments and Risk Management

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Citations and Sources in Large Language Models: What They Can and Cannot Do

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AI Risk Registers for Generative AI: Documenting Systems and Controls

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Deduplication Strategies for LLM Training Data: Exact, Fuzzy, and Semantic

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Prompt Libraries for Generative AI: Governance, Versioning, and Best Practices

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