gensai.aiFine-tuning partially retrains a pre-trained model on specific data to adapt it to a domain or a style: legal vocabulary, a brand's tone, a precise output format. Heavier than RAG, it is justified when the model's very behaviour must change, not just its knowledge.
In practice at Gensai
Gensai favours RAG to bring in knowledge, and reserves fine-tuning for cases where the style or output format must be deeply adapted.
Same theme
LLM (Large Language Model)SLM (Small Language Model)DLLM (Diffusion Large Language Model)Hallucination (AI)Prompt chainingPre-trained modelFoundation modelGenerative AITransformerTokenContext windowPromptPrompt engineeringContext (AI)Memory (AI)Open-weightQuantizationDistillationLoRA (Low-Rank Adaptation)Mixture of Experts (MoE)Reasoning modelTemperature (AI)
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
Related services: Custom AI solutions
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