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  • Function Calling

    Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling reliable, auditable agent…

  • Prompt Injection

    Prompt injection is an attack where malicious text in prompts or retrieved content hijacks an LLM or agent, overriding instructions to…

  • Speculative Decoding

    Speculative decoding speeds up LLM inference by letting a fast draft model propose tokens that a larger model verifies, accepting matching…

  • Mixture of Experts (MoE)

    Mixture of Experts (MoE) scales model capacity by routing each token to a small subset of expert networks, delivering high quality…

  • Vision-Language Model (VLM)

    A Vision-Language Model (VLM) jointly learns from images and text to understand and generate multimodal content, enabling captioning, VQA, grounding, and…

  • Toolformer

    Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality and arithmetic/lookup reliability…

  • Grouped-Query Attention (GQA)

    Grouped-Query Attention shares keys/values across groups of query heads, shrinking KV caches and bandwidth to speed LLM inference and extend context…

  • Diffusion Model

    A diffusion model generates data by reversing a gradual noising process, denoising step by step—often in latent space—and can be conditioned…

  • AI Hallucination

    AI hallucination is when a generative model confidently outputs false, fabricated, or unsupported content. It stems from likelihood-driven decoding without grounding…

  • Structured Output

    Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing free‑form text with…

  • GTA 6 Gameplay Footage Leaked Online

    GTA 6 Gameplay Footage Leaked Online

    Leaked gameplay clips show Vice City back in action — real or fan-made?

  • Top 10 Saddest Anime Deaths That Shattered Us

    Top 10 Saddest Anime Deaths That Shattered Us

    These anime deaths left a mark on our hearts — here are the top 10 that still haunt us.

  • Nintendo Direct Recap: All Announcements & Trailers

    Nintendo Direct Recap: All Announcements & Trailers

    Missed the Direct? Here’s a full breakdown of everything revealed.

  • Model Context Protocol (MCP)

    Model Context Protocol (MCP) is a standard that lets LLM apps and agents connect to external context and tools via interoperable…

  • Constitutional AI

    Constitutional AI aligns models to an explicit set of principles, enabling self‑critique and revision (and optionally AI feedback) to reduce harmful…

  • Tree-of-Thought (ToT)

    Tree-of-Thought structures reasoning as a search over branching steps. An LLM expands candidate thoughts, a controller scores and prunes them, and…

  • Retrieval-Augmented Generation (RAG)

    RAG grounds LLM outputs in retrieved documents via sparse, dense, or hybrid search, improving factuality, citations, and freshness without retraining the…

  • Small Language Model (SLM)

    A Small Language Model (SLM) is a compact LLM optimized for low latency and memory via distillation, pruning, quantization, and domain…

  • Direct Preference Optimization (DPO)

    DPO aligns LLMs using human preference pairs—no reward model or RL required—by training the policy to prefer chosen responses while constraining…

  • 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 explainable, cited answers…

  • 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, planning, and code…

  • Function Calling

    Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling reliable, auditable agent…

  • Prompt Injection

    Prompt injection is an attack where malicious text in prompts or retrieved content hijacks an LLM or agent, overriding instructions to…

  • GTA 6 Gameplay Footage Leaked Online

    GTA 6 Gameplay Footage Leaked Online

    Leaked gameplay clips show Vice City back in action — real or fan-made?

  • Top 10 Saddest Anime Deaths That Shattered Us

    Top 10 Saddest Anime Deaths That Shattered Us

    These anime deaths left a mark on our hearts — here are the top 10 that still haunt us.

  • Nintendo Direct Recap: All Announcements & Trailers

    Nintendo Direct Recap: All Announcements & Trailers

    Missed the Direct? Here’s a full breakdown of everything revealed.

  • Model Context Protocol (MCP)

    Model Context Protocol (MCP) is a standard that lets LLM apps and agents connect to external context and tools via interoperable…

  • Constitutional AI

    Constitutional AI aligns models to an explicit set of principles, enabling self‑critique and revision (and optionally AI feedback) to reduce harmful…

  • Tree-of-Thought (ToT)

    Tree-of-Thought structures reasoning as a search over branching steps. An LLM expands candidate thoughts, a controller scores and prunes them, and…

  • Retrieval-Augmented Generation (RAG)

    RAG grounds LLM outputs in retrieved documents via sparse, dense, or hybrid search, improving factuality, citations, and freshness without retraining the…

  • Small Language Model (SLM)

    A Small Language Model (SLM) is a compact LLM optimized for low latency and memory via distillation, pruning, quantization, and domain…

  • Direct Preference Optimization (DPO)

    DPO aligns LLMs using human preference pairs—no reward model or RL required—by training the policy to prefer chosen responses while constraining…

  • 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 explainable, cited answers…

  • 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, planning, and code…

  • Function Calling

    Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling reliable, auditable agent…

  • Prompt Injection

    Prompt injection is an attack where malicious text in prompts or retrieved content hijacks an LLM or agent, overriding instructions to…

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