Constitutional AI aligns models to an explicit set of principles, enabling self‑critique and revision (and optionally AI feedback)…
Tree-of-Thought structures reasoning as a search over branching steps. An LLM expands candidate thoughts, a controller scores and…
Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality…
Grouped-Query Attention shares keys/values across groups of query heads, shrinking KV caches and bandwidth to speed LLM inference…
A diffusion model generates data by reversing a gradual noising process, denoising step by step—often in latent space—and…
AI hallucination is when a generative model confidently outputs false, fabricated, or unsupported content. It stems from likelihood-driven…
Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing…
A text embedding is a dense vector that encodes the meaning of text for similarity search, clustering, and…
Agentic AI enables LLMs to plan, use tools, and act in closed-loop cycles with memory and safety controls,…
Instruction tuning fine-tunes LMs on instruction–response pairs to improve adherence, helpfulness, and controllability, and often precedes preference tuning…
Ask me anything. I will answer your question based on my website database.
Subscribe to our newsletters. We’ll keep you in the loop.
Constitutional AI aligns models to an explicit set of principles, enabling self‑critique and revision (and optionally AI feedback)…
Tree-of-Thought structures reasoning as a search over branching steps. An LLM expands candidate thoughts, a controller scores and…
Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality…
Grouped-Query Attention shares keys/values across groups of query heads, shrinking KV caches and bandwidth to speed LLM inference…
A diffusion model generates data by reversing a gradual noising process, denoising step by step—often in latent space—and…
AI hallucination is when a generative model confidently outputs false, fabricated, or unsupported content. It stems from likelihood-driven…
Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing…
A text embedding is a dense vector that encodes the meaning of text for similarity search, clustering, and…
Agentic AI enables LLMs to plan, use tools, and act in closed-loop cycles with memory and safety controls,…
Instruction tuning fine-tunes LMs on instruction–response pairs to improve adherence, helpfulness, and controllability, and often precedes preference tuning…