gensai.aiContext is the set of information supplied to the model at request time: conversation history, documents, system instructions, business data. Since models do not know your company, the quality of the context makes the quality of the answer; that is the whole point of RAG architectures.
In practice at Gensai
Much of Gensai's work is building the right context: which data, in what order, with which instructions.
Same theme
LLM (Large Language Model)SLM (Small Language Model)DLLM (Diffusion Large Language Model)Hallucination (AI)Prompt chainingPre-trained modelFoundation modelGenerative AITransformerTokenContext windowPromptPrompt engineeringMemory (AI)Fine-tuningOpen-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.
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