Techniques

Fine-tuning

Définition

The process of taking a pre-trained AI model and further training it on a specific dataset to adapt it for a particular task or domain. Fine-tuning can improve model performance for specialized use cases.

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.

Prompt Engineering

The practice of designing and optimizing input prompts to get the best results from AI models, especially LLMs. Good prompt engineering can dramatically improve output quality without changing the underlying model.

Services Connexes

Production Ai Systems

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