---
title: AI Knowledge — Deliver Blue AI
source: https://www.deliverblue.ai/knowledge
---

# AI Knowledge

## Essential AI terms

### Agentic Workforce
A model where AI agents work alongside or independently of humans to automate complex tasks and decision-making — enhancing efficiency, scalability and adaptability across industries.

### Large Language Model (LLM)
A deep-learning model trained on vast amounts of text to understand and generate human-like language. Models like GPT can complete text, answer questions and hold conversations.

### Natural Language Processing (NLP)
A field of AI that enables computers to understand, interpret and generate human language — powering chatbots, translation, sentiment analysis and voice assistants.

### Retrieval-Augmented Generation (RAG)
A hybrid approach that combines retrieving relevant data from an external knowledge base with generative AI, producing more accurate, grounded responses and reducing hallucinations.

### Knowledge Base
A structured collection of information that AI systems use to store, retrieve and process knowledge for decision-making — static or updated in real time to support chatbots and assistants.

## AI agent platforms

### OpenAI API (ChatGPT & GPT-4)
Powerful language models for building agents that understand, reason and generate human-like responses — widely used for chatbots, automation, coding assistants and enterprise AI.

### AWS AI & Amazon Bedrock
A scalable environment for building AI agents with enterprise integrations. Bedrock lets businesses deploy generative AI models and automate customer interactions with minimal development effort.

### Google Vertex AI
A cloud platform to build, deploy and manage AI agents using advanced models like Gemini — widely adopted for customer-service automation, data analysis and predictive AI.

### IBM Watson Assistant
A trusted platform for building AI-driven chatbots and virtual assistants, widely used in healthcare, finance and telecom to enhance support and streamline operations.

### AutoGen (Microsoft)
A framework for creating multi-agent AI systems that collaborate to solve complex tasks — used in research, automation and business-process optimisation across Microsoft’s AI ecosystem.

### Relevance AI
A platform for building intelligent agents that analyse and act on unstructured data — designed for automating insights, personalising experiences and optimising decisions.

### Salesforce Agentforce
Salesforce’s AI-driven platform that enhances CRM workflows with intelligent automation — improving customer interactions, automating sales and surfacing AI-powered insights.