Tag: llm — Code Glossary

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Most referenced — #llm

Temperature & Sampling in LLMs 1 Multimodal AI 1

AI Prompt Versioning 4 Prompt Caching 2 LLM Streaming Responses 1 Prompt Injection Attacks (LLM Security) 1 AI API Cost Management 1 AI Hallucination 1 Knowledge Distillation 1 Reasoning Models & Test-Time Compute 1

Using AI APIs in PHP 51 RAG — Retrieval-Augmented Generation 41 AI API Cost Management 40 LLM Hallucination 37 AI Agent Pattern 37 AI Security 36 AI Agents & Tool Use 34 LLM Streaming Responses 30

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crawler 813 crawler_json 69 pre-tracking 3

Tag total885 pings Terms pinged36 / 36 Distinct agents11

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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

AI Prompt Versioning

The practice of treating prompts as versioned artifacts — tracking changes, correlating outputs to prompt revisions, and enabling rollback when quality regresses.

1d ago ai_ml intermediate

Mixture of Experts (MoE)

Neural network architecture where a gating network routes each token to a small subset of specialist 'expert' sub-networks, enabling huge total parameter counts at moderate per-token compute cost.

2w ago ai_ml advanced

Prompt Caching

API feature where a static prompt prefix (system instructions, large context) is cached server-side, dramatically reducing cost and latency on repeated calls that share the prefix.

2w ago ai_ml intermediate

Reasoning Models & Test-Time Compute

A class of LLMs trained to allocate extra inference-time compute to internal reasoning before answering, achieving large gains on math, code, and logic at the cost of latency and tokens.

2w ago ai_ml intermediate

RLHF — Reinforcement Learning from Human Feedback

Post-training method where human preference rankings train a reward model that fine-tunes an LLM via reinforcement learning, aligning outputs with human preferences.

2w ago ai_ml advanced

AI Alignment

The research and engineering discipline of ensuring AI systems pursue goals that are consistent with human values, intentions, and safety — not just stated objectives.

2mo ago ai_ml advanced

AI Context Poisoning

An adversarial technique where malicious instructions are injected into an LLM's context window — via user input, retrieved documents, or tool results — to hijack the model's behaviour.

2mo ago ai_ml advanced

AI Governance

The policies, processes, and organisational structures that ensure AI systems are developed, deployed, and monitored responsibly — covering accountability, fairness, transparency, and compliance.

2mo ago ai_ml advanced

AI Guardrails

Runtime constraints and safety filters applied around LLM calls to detect, block, or rewrite inputs and outputs that are harmful, off-topic, or policy-violating.

2mo ago ai_ml intermediate

AI Observability

The practice of monitoring, tracing, and evaluating LLM-powered systems in production — covering latency, token costs, prompt drift, output quality, and failure modes.

2mo ago ai_ml intermediate

Knowledge Distillation

A compression technique where a smaller 'student' model is trained to mimic the outputs of a larger 'teacher' model, achieving comparable performance at a fraction of the inference cost.

2mo ago ai_ml advanced

LLM Temperature & Sampling Strategies

Parameters that control the randomness and diversity of LLM output — temperature scales token probabilities, while top-p and top-k limit the candidate pool before sampling.

2mo ago ai_ml intermediate

Multimodal AI

AI models that process and generate across multiple input or output modalities — text, images, audio, and video — within a single unified architecture.

2mo ago ai_ml intermediate

Prompt Injection Attack

An attack where crafted user input overrides or hijacks an LLM's system instructions, causing it to ignore its intended behaviour and follow attacker-supplied commands instead.

CWE-74 OWASP LLM01:2025

2mo ago ai_ml advanced

AI Agent Pattern

An LLM-powered system that takes multi-step actions autonomously — calling tools, reading results, and deciding next steps in a loop until a goal is achieved.

2mo ago ai_ml advanced

Chain-of-Thought Prompting

A prompting technique that instructs an LLM to show its reasoning step-by-step before giving a final answer, significantly improving accuracy on complex tasks.

2mo ago ai_ml beginner

LLM Hallucination

When a large language model generates confident-sounding text that is factually incorrect, fabricated, or unsupported by any source — a fundamental property of how language models work.

2mo ago ai_ml intermediate

LLM Streaming Responses PHP 8.0+

Receiving LLM output token-by-token as it is generated rather than waiting for the full response — dramatically improving perceived latency for users and enabling real-time displays of AI-generated content.

2mo ago ai_ml intermediate

Prompt Injection Attacks (LLM Security)

An attack where malicious instructions embedded in user input or retrieved content override an LLM's system prompt — causing it to ignore its instructions, reveal confidential information, or take unintended actions.

2mo ago security advanced

RAG — Retrieval-Augmented Generation

An LLM architecture that fetches relevant documents from an external knowledge base before generating a response, grounding answers in retrieved facts rather than training data alone.

2mo ago ai_ml intermediate

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