raptor (recursive abstractive processing),raptor,recursive abstractive processing,rag
Build hierarchical summaries of document chunks for multi-level retrieval.
9,967 technical terms and definitions
Build hierarchical summaries of document chunks for multi-level retrieval.
Rare earth recovery extracts valuable lanthanides from electronic waste for reuse.
Rasa is open source conversational AI. NLU, dialog management.
Rate limiting restricts request frequency preventing abuse and ensuring fair access.
Restrict number of requests to prevent abuse.
Rational subgroups contain units produced under homogeneous conditions for within-group estimates.
Render by stepping along rays.
Ray marching samples points along rays through scene accumulating color and opacity.
Ray Tune is distributed hyperparameter tuning. Many algorithms.
Ray is distributed computing framework. Simple parallelism. Ray Train, Ray Serve for ML.
Flip-flops detecting timing errors.
Responsible Business Alliance establishes labor rights and environmental standards for electronics supply chains.
Resistance-capacitance delay in interconnects.
Classic two-step cleaning (SC1 then SC2) developed by RCA.
Refine initial retrieval results.
Re-ranking adjusts initial recommendation lists to optimize secondary objectives like diversity novelty or fairness while maintaining relevance.
After initial retrieval re-score documents with a more powerful model to improve relevance.
Adjust sampling to handle imbalance.
Compute reachable output set.
Reachability analysis computes safe state sets ensuring policies can always reach safe regions.
Agent pattern where model alternates between reasoning steps and taking actions.
Interleave reasoning and actions.
ReAct interleaves reasoning and actions enabling language models to interact with tools.
ReAct: Reason → Act → Observe loop. Model thinks, calls tool, reads result, repeats. Standard agent pattern.
Suggest optimal reaction conditions.
Extract chemical reactions from text.
Reaction plans specify actions when processes deviate from normal operation.
Predict products of chemical reactions.
Temperature at which CVD reactions occur efficiently.
Another term for RIE lag in high-aspect-ratio features.
Etch samples for analysis.
Generate README files. Project setup, usage examples.
Readout functions aggregate node features into graph-level representations for classification or regression tasks.
Choose appropriate reagents for synthesis.
Practical super-resolution.
Real-ESRGAN uses adversarial training for practical blind super-resolution.
Real-time dispatching dynamically assigns equipment to lots optimizing throughput.
Index new documents immediately.
Generate outputs with low latency for interactive applications.
Get current information during generation.
Track assets in real-time.
Adjust process based on instant feedback.
Fast inference for NeRF/Gaussians.
Fast enough for interactive use.
End-to-end training of retriever and generator.
Test toxic continuation generation.
Create step-by-step solutions.
Fraction of relevant docs in top K.
Fraction of relevant items in top-K.
Recent examples influence more.