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Model Context Protocol (MCP)
Model Context Protocol (MCP) is a standard that lets LLM apps and agents connect to external context and…
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Constitutional AI
Constitutional AI aligns models to an explicit set of principles, enabling self‑critique and revision (and optionally AI feedback)…
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Tree-of-Thought (ToT)
Tree-of-Thought structures reasoning as a search over branching steps. An LLM expands candidate thoughts, a controller scores and…
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Retrieval-Augmented Generation (RAG)
RAG grounds LLM outputs in retrieved documents via sparse, dense, or hybrid search, improving factuality, citations, and freshness…
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Small Language Model (SLM)
A Small Language Model (SLM) is a compact LLM optimized for low latency and memory via distillation, pruning,…
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Direct Preference Optimization (DPO)
DPO aligns LLMs using human preference pairs—no reward model or RL required—by training the policy to prefer chosen…
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Graph Retrieval-Augmented Generation (Graph RAG)
Graph RAG organizes knowledge as a graph and retrieves connected subgraphs for LLMs, enabling multi-hop reasoning, disambiguation, and…
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Chain-of-Thought (CoT)
Chain-of-thought (CoT) prompts models to show intermediate reasoning steps, improving multi-step problem solving and interpretability for math, logic,…
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Function Calling
Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling…
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Prompt Injection
Prompt injection is an attack where malicious text in prompts or retrieved content hijacks an LLM or agent,…
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Model Context Protocol (MCP)
Model Context Protocol (MCP) is a standard that lets LLM apps and agents connect to external context and…
-
Constitutional AI
Constitutional AI aligns models to an explicit set of principles, enabling self‑critique and revision (and optionally AI feedback)…
-
Tree-of-Thought (ToT)
Tree-of-Thought structures reasoning as a search over branching steps. An LLM expands candidate thoughts, a controller scores and…
-
Retrieval-Augmented Generation (RAG)
RAG grounds LLM outputs in retrieved documents via sparse, dense, or hybrid search, improving factuality, citations, and freshness…
-
Small Language Model (SLM)
A Small Language Model (SLM) is a compact LLM optimized for low latency and memory via distillation, pruning,…
-
Direct Preference Optimization (DPO)
DPO aligns LLMs using human preference pairs—no reward model or RL required—by training the policy to prefer chosen…
-
Graph Retrieval-Augmented Generation (Graph RAG)
Graph RAG organizes knowledge as a graph and retrieves connected subgraphs for LLMs, enabling multi-hop reasoning, disambiguation, and…
-
Chain-of-Thought (CoT)
Chain-of-thought (CoT) prompts models to show intermediate reasoning steps, improving multi-step problem solving and interpretability for math, logic,…
-
Function Calling
Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling…
-
Prompt Injection
Prompt injection is an attack where malicious text in prompts or retrieved content hijacks an LLM or agent,…