Configures Azure monitoring system which is enabled by default for all customers

refers to developing and deploying AI systems ethically and with social awareness, emphasizing fairness, transparency, and inclusivity

involves implementing various strategies to protect AI systems from being manipulated through malicious input or prompts.

Quickly filters candidates in large datasets; the semantic re-ranker then fine-tunes results for query relevance, balancing speed and accuracy.

Integrates external information to enhance language models, ensuring accurate and context-aware responses for untrained queries.

Allows developers to use language models to interact with external functions, APIs, or systems via natural language prompts.

Enhance text generation by integrating information from text, images, and videos, and using knowledge bases or databases for accurate, context-rich responses.

Ontology-based AI infers content and relationships to provide personalized results by matching customer data with suitable products.

Self-hosted LLMs offer full control over data and can reduce costs by providing predictable hosting expenses