AI embeddings are numerical representations of text, images, or data that capture semantic meaning, enabling AI systems to understand similarity, search by concept, and retrieve relevant information.
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Fine-Tuning (for Customer Service)
Fine-tuning is the process of further training a pre-trained AI model on domain-specific data to improve its performance on particular tasks, such as understanding customer service terminology and following support workflows.
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Human-in-the-Loop
Human-in-the-loop (HITL) is an AI design approach where human agents can review, approve, correct, or override AI decisions at critical points in the workflow.
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AI Observability
AI observability is the practice of monitoring, measuring, and understanding the behavior, performance, and decision-making of AI systems in production to ensure they operate correctly and reliably.
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Prompt Injection
Prompt injection is a security attack where malicious instructions are embedded in user input to manipulate an AI agent into ignoring its rules, revealing sensitive data, or taking unauthorized actions.
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Context Window
A context window is the maximum amount of text (measured in tokens) that an AI model can process in a single interaction, including the conversation history, system instructions, and retrieved documents.
