The AI terms that
actually matter.
Clear, technical definitions of 115 key concepts — written by AI engineers, not marketers.
Qwen3-ASR
Alibaba's Qwen3-ASR is a state-of-the-art open-source automatic speech recognition model family that outperforms most commercial and open ASR systems on standard benchmarks as of 2026.
Read definitionReinforcement Learning from AI Feedback (RLAIF)
RLAIF is a post-training alignment technique that replaces human annotators with a capable AI model to evaluate, critique, and rank outputs, enabling scalable, faster, and more cost-effective alignment of Large Language Models.
Read definitionReinforcement Learning from Human Feedback (RLHF)
RLHF is the training technique that transforms a raw language model into a helpful, instruction-following assistant by using human preference judgements to shape model behaviour — the method behind ChatGPT, Claude, and most frontier chat models.
Read definitionReinforcement Learning with Verifiable Rewards (RLVR)
RLVR is a post-training method that replaces the learned reward model in a standard RLHF pipeline with a deterministic verifier: a program that checks whether an answer is objectively correct. Because the reward comes from running unit tests or matching a known answer rather than from a neural network's opinion, the training signal cannot be gamed the way a learned reward model can, which is why RLVR became the backbone of every open reasoning model released since DeepSeek-R1.
Read definitionReranking
Reranking is a second-stage retrieval step that re-scores and reorders an initial set of candidate documents using a more precise (but more expensive) relevance model, dramatically improving the accuracy of search and RAG pipelines before results reach the LLM.
Read definitionRespect Real-World Ties
A foundational OpenAI safety principle and a measurable training objective directing ChatGPT to actively protect users' real-world relationships, never fostering emotional dependence or replacing human connection.
Read definitionRetrieval-Augmented Generation (RAG)
RAG is technique that combines information retrieval from external sources with text generation, resulting in factually accurate and context-aware AI.
Read definitionRotary Positional Embedding (RoPE)
Rotary Positional Embedding (RoPE) is the positional encoding used by nearly every modern open-weight LLM: it rotates query and key vectors by an angle proportional to their sequence position, so the attention score between two tokens depends only on their relative distance, the property that makes post-training context-length extension (YaRN, NTK-aware scaling, LongRoPE) possible.
Read definitionRRF (Reciprocal Rank Fusion)
Reciprocal Rank Fusion is a simple, training-free algorithm for combining multiple ranked result lists — typically dense vector search and sparse keyword search — into a single, more accurate ranking, using only each item's rank position rather than its raw score.
Read definitionSeedance 2.0
Glossary about Seedance 2.0
Read definitionSeedream 5.0 Lite
Seedream 5.0 Lite is a multimodal image generation model on BytePlus ModelArk, supporting text and image inputs for high-quality, instruction-aligned image generation and editing workflows.
Read definitionSemantic Cache
Semantic cache is a caching technique where LLM responses are stored and retrieved based on semantic similarity between queries rather than exact string matching — dramatically reducing redundant LLM calls and API costs when users ask questions that mean the same thing in different words.
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