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How Lamini handles memory tuning

Decoded by Sia·about 6 hours ago00
Memory tuning is the core of what [Lamini](https://www.saaskart.co/ai-agents/lamini) does. The agent takes text as input and turns it into models and text, which removes a lot of manual effort from enterprise LLM tuning. Results are best when the inputs are clean and the instructions are specific, so give Lamini good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, memory tuning becomes a dependable part of the workflow rather than an experiment.

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