docs: update glossary

Author: sinedied

glossary.md

@@ -3,13 +3,24 @@
 A comprehensive list of technical terms used throughout the lessons.
 
 - **API**: A set of rules enabling software applications to communicate with each other, commonly used in generative AI integration.
+- **API key**: A private key used to authenticate requests to an application programming interface.
 - **Augmented Prompt**: A prompt enhanced with additional context or information to improve the relevance of AI-generated responses.
+- **Azure OpenAI**: A cloud service for deploying and scaling OpenAI models like GPT for applications.
+- **Braided Search**: Combines algorithmic search with human-provided examples to find more contextually relevant results in AI applications.
+- **Caesar cipher**: A substitution cipher shifting characters by a fixed number of places in the alphabet.
 - **Chain-of-Thought Prompting**: A technique guiding models to break down complex tasks into sequential reasoning steps for better accuracies in outputs.
+- **Completions API**: API to generate text or code based on inputs, used for predictive or generative tasks in AI models.
 - **Context Window**: The amount of past input that a language model can consider when generating responses, measured in tokens.
 - **CSV**: A data format consisting of values separated by commas, often used for structured data retrieval and modification.
+- **Embedding**: Numeric vector representation of data, often used for semantic search or clustering in machine learning.
 - **Few-Shot Prompting**: A method of providing minimal examples to the model to influence its output with specific context or format.
+- **Full-Stack Development**: Development of both the client (frontend) and server (backend) in software applications.
 - **GitHub Codespaces**: A cloud-based environment for coding, testing, and running applications directly from GitHub repositories.
+- **GitHub Models**: A platform hosting pre-trained AI models for use and integration with GitHub development workflows.
+- **Interactive Development Environments (IDEs)**: Software providing coding, debugging, and testing tools for developers.
 - **JSON**: A lightweight data-interchange format used for structured information exchange between systems, including generative AI responses.
+- **Knowledge Bases**: Data repositories used to enhance AI applications by providing reliable, domain-specific information.
+- **LangChain**: A framework for building AI applications that focus on chaining multiple models and functionalities together.
 - **Large Language Model (LLM)**: AI models trained on large text datasets to generate human-like responses for diverse applications.
 - **Maieutic Prompting**: A technique involving follow-up queries to challenge or validate AI-generated responses for accuracy and reasoning.
 - **Managed Identity**: A secure cloud mechanism that provides applications with automatic authentication to access resources without managing passwords.
@@ -19,7 +30,10 @@ A comprehensive list of technical terms used throughout the lessons.
 - **OpenAI**: A pioneering organization in AI research and APIs for language models integrated into applications for generative tasks.
 - **Prompt Engineering**: The process of crafting effective prompts to guide AI models toward desired responses and behaviors.
 - **RAG (Retrieval-Augmented Generation)**: A technique combining retrieval-based methods with generative models for more accurate, data-grounded outputs.
+- **Semantic Search**: Search method leveraging the meaning of terms for more contextually accurate and nuanced results.
+- **Structured Output**: Data output organized in predefined formats like tables or JSON, enabling easier integration with systems.
 - **System Message**: A prompt in conversational AI that specifies contextual boundaries or personality for the assistant.
 - **TensorFlow.js**: A JavaScript-based machine learning library enabling browser and Node.js-based AI/ML applications and training.
 - **Tokenizer**: A tool used to convert text into tokens, providing structure for how data is inputted or analyzed by models.
+- **Vector Search**: Retrieval technique comparing encoded vectors to find semantically similar information in AI applications.
 - **XML**: A markup language formatting structured data for information storage, exchange, or generative model input/output.