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Context engineering for LLMs goes beyond prompt tuning, says Redis advocate

By PulseAugur Editorial · [1 sources] ·

Prompt tuning, a common method for correcting LLM behavior, is often misunderstood as simply adding more instructions. However, true context engineering focuses on controlling the information an LLM processes rather than just increasing prompt length. Redis Principal Developer Advocate Ricardo Ferreira will share practical insights on this topic on September 02, 2026. AI

IMPACT Reframes prompt tuning as a method of controlling LLM input rather than just adding instructions.

RANK_REASON Opinion piece from a company advocate about LLM prompt engineering.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Context engineering for LLMs goes beyond prompt tuning, says Redis advocate

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Opinion piece from a company advocate about LLM prompt engineering.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    “Just add more instructions to the prompt.” Sound familiar? When an LLM acts up, prompt tuning can feel like the obvious fix. But context engineering isn’t abou

    “Just add more instructions to the prompt.” Sound familiar? When an LLM acts up, prompt tuning can feel like the obvious fix. But context engineering isn’t about telling the model more - it’s about controlling what it actually sees. 👀 Sneak peek: Ricardo Ferreira, Principal Devel…

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