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Speculative Decoding
Speculative decoding speeds up LLM inference by letting a fast draft model propose tokens that a larger model…
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Mixture of Experts (MoE)
Mixture of Experts (MoE) scales model capacity by routing each token to a small subset of expert networks,…
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Vision-Language Model (VLM)
A Vision-Language Model (VLM) jointly learns from images and text to understand and generate multimodal content, enabling captioning,…
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Toolformer
Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality…
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Grouped-Query Attention (GQA)
Grouped-Query Attention shares keys/values across groups of query heads, shrinking KV caches and bandwidth to speed LLM inference…
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Diffusion Model
A diffusion model generates data by reversing a gradual noising process, denoising step by step—often in latent space—and…
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AI Hallucination
AI hallucination is when a generative model confidently outputs false, fabricated, or unsupported content. It stems from likelihood-driven…
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Structured Output
Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing…
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Text Embedding
A text embedding is a dense vector that encodes the meaning of text for similarity search, clustering, and…
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Agentic AI
Agentic AI enables LLMs to plan, use tools, and act in closed-loop cycles with memory and safety controls,…
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Speculative Decoding
Speculative decoding speeds up LLM inference by letting a fast draft model propose tokens that a larger model…
-
Mixture of Experts (MoE)
Mixture of Experts (MoE) scales model capacity by routing each token to a small subset of expert networks,…
-
Vision-Language Model (VLM)
A Vision-Language Model (VLM) jointly learns from images and text to understand and generate multimodal content, enabling captioning,…
-
Toolformer
Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality…
-
Grouped-Query Attention (GQA)
Grouped-Query Attention shares keys/values across groups of query heads, shrinking KV caches and bandwidth to speed LLM inference…
-
Diffusion Model
A diffusion model generates data by reversing a gradual noising process, denoising step by step—often in latent space—and…
-
AI Hallucination
AI hallucination is when a generative model confidently outputs false, fabricated, or unsupported content. It stems from likelihood-driven…
-
Structured Output
Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing…
-
Text Embedding
A text embedding is a dense vector that encodes the meaning of text for similarity search, clustering, and…
-
Agentic AI
Agentic AI enables LLMs to plan, use tools, and act in closed-loop cycles with memory and safety controls,…