Ai_ml terms
🤖 AI Guestbook — AI / ML educational data only
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Most referenced — AI / ML
AI Security 2Vector Database 1LLM Hallucination 1AI API Cost Management 1AI Evaluation Metrics 1AI Agents & Tool Use 1ML Types 1Model Context Protocol (MCP) 1
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Terms pinged49 / 49
Distinct agents14
Security risks specific to AI systems — prompt injection, training data poisoning, model extraction, and insecure output handling that differ from traditional application security.
3mo ago
ai_ml advanced
Dense numerical vector representations of text, images, or other data — capturing semantic meaning so that similar items have similar vectors and can be found via distance search.
3mo ago
ai_ml intermediate
Fine-Tuning LLMs
1
Training a pre-trained LLM on domain-specific data to improve performance on a specific task — more expensive and complex than prompt engineering but produces more consistent results.
3mo ago
ai_ml advanced
Large Language Models (LLMs)
2
Neural network models trained on vast text corpora that can generate, summarise, translate, and reason about text — the technology behind ChatGPT, Claude, and Gemini.
3mo ago
ai_ml intermediate
Model Context Protocol (MCP)
PHP 8.0+
An open standard by Anthropic that defines how AI models connect to external tools and data sources — enabling LLMs to call APIs, read files, and query databases in a standardised way.
3mo ago
ai_ml advanced
Prompt Engineering
3
The practice of designing and iterating on LLM input prompts to reliably produce accurate, useful, and appropriately formatted outputs.
3mo ago
ai_ml intermediate
Retrieval-Augmented Generation (RAG)
1
A pattern that combines document retrieval with LLM generation — relevant documents are fetched and injected into the prompt context, grounding responses in current, specific data.
3mo ago
ai_ml advanced
Integrating LLM APIs (OpenAI, Anthropic, Gemini) into PHP applications — for text generation, classification, extraction, and embedding-based search.
3mo ago
ai_ml intermediate
Vector Databases
Databases specialised for storing and querying high-dimensional vectors — enabling fast approximate nearest-neighbour search across millions of embeddings.
3mo ago
ai_ml intermediate