Business

Generative AI for Enterprise

Définition

The deployment of generative AI—LLMs, image generators, and code assistants—within enterprise contexts, including internal copilots, customer-facing chatbots, automated content production, and software development acceleration. Enterprise deployments require additional security, compliance, and accuracy controls not needed in consumer products.

Exemples

Internal knowledge assistant
AI-generated product descriptions
Code review automation

Termes Connexes

Large Language Model (LLM)

AI models trained on vast amounts of text data that can understand and generate human-like text. Examples include GPT-4, Claude, and Llama. LLMs power modern chatbots, content generation, and code assistance tools.

Retrieval-Augmented Generation (RAG)

A technique that enhances LLM responses by retrieving relevant information from external knowledge sources before generating a response. RAG improves accuracy, reduces hallucinations, and enables LLMs to access up-to-date information without retraining.

Hallucination

The tendency of LLMs to generate plausible-sounding but factually incorrect or fabricated content. Hallucination is a primary enterprise risk for generative AI and is mitigated through RAG, grounding techniques, output validation, and human-in-the-loop review processes.

Services Connexes

Product Leadership Program

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