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)
Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
Related services: Chatbots and answer engines, Voice AI
55 boulevard de Strasbourg, 75010 Paris