learned step size, model optimization
Learned step size quantization optimizes quantization scale factors during training.
442 technical terms and definitions
Learned step size quantization optimizes quantization scale factors during training.
Learning curve prediction forecasts final performance from initial training enabling efficient architecture selection.
Cost reduction with volume.
Learning curves represent cost reduction over cumulative production volume.
Use human preferences to train.
Plan for adjusting learning rate during training (cosine linear step decay).
Learning rate schedule: warmup then decay (cosine, linear). Warmup prevents early instability. Key hyperparameter.
Learning to rank formulates recommendation as ranking problem optimizing for ordered list quality.
ML approaches to ranking.
Framework for privileged information.
Break problem into subproblems.
Solve easy sub-problems first then build to harder ones.
Least-to-most prompting decomposes problems into simpler subproblems solved sequentially.
LED lighting in fabs reduces energy consumption for illumination while providing compatible wavelengths for photolithography processes.
Legal-BERT is trained on legal text. Contract analysis, case law.
Analyze contracts and legal texts.
Answer questions about law.
Find relevant cases and statutes.
Legal reasoning tasks.
Double patterning technique.
Reduce to base form.
Generalize to sequences longer than seen during training.
Length matching equalizes signal path delays through routing constraints maintaining timing relationships.
Account for sequence length in scoring.
Channel length depends on nearby diffusions.
Length penalty adjusts probabilities favoring shorter or longer sequences.
Encourage/discourage longer sequences.
Adjust beam search scores to favor shorter or longer sequences.
Line edge roughness causes transistor variability.
Combined edge and width roughness characterization.
Lossless Edge-order preserving aggregation for Session-based Recommendation uses novel GNN design.
Generate game levels automatically.
Level sensors monitor chemical tank fill status.
Convert between voltage domains.
Edit sequences via insertions and deletions.
Amazon Lex builds conversational bots. Alexa technology.
Legal language understanding.
Linear Feedback Shift Registers generate pseudo-random test patterns for BIST through characteristic polynomial-based state transitions.
Fake news detection.
Standard format for cell timing data.
Discover reusable code abstractions.
Match measured spectrum to pre-calculated library.
Check model licenses: Apache/MIT are permissive, Llama has restrictions, some are research-only. Legal implications.
Licensing models grant rights to use semiconductor IP through royalties or upfront fees.
Pay to use someone else's IP.
Attach package lid.
Seal lid to package.
SLAM with LiDAR sensor.
Analyze LiDAR sequences.
Networks using Lie group theory.