tool warm-up, production
Stabilization period after maintenance.
9,967 technical terms and definitions
Stabilization period after maintenance.
Equip models with calculators search APIs code execution.
Variation from equipment.
Consistency across different tools.
Tool-to-tool variation measures performance differences between nominally identical equipment.
ToolBench evaluates agent ability to use diverse APIs and tools effectively.
Benchmark for tool use.
Model trained to decide when and how to use tools.
Toolformer learns to use tools. Self-supervised tool learning. Meta research.
Top-k sampling limits to k highest probability tokens, then samples. Fixed vocabulary cutoff.
Markings on package top.
Route to two best experts.
SEM imaging from above to measure CD and patterns.
Route each token to k best experts.
Send only k largest gradients.
Return K most relevant documents.
Top-k routing selects k highest-scoring experts for each token.
Sample from K most likely tokens.
Sample only from the k most probable next tokens.
Sample from smallest set of tokens whose cumulative probability exceeds p.
Sample from smallest set with cumulative prob P.
Topic restrictions keep model on-task. Refuse off-topic queries politely. Focus assistant.
Top-K pooling selects a fixed number of highest-scoring nodes based on learned projection vectors for hierarchical graph representation.
Select top-k nodes by importance.
Qubits protected by topology.
Find optimal material distribution.
Consider network structure.
torch.compile uses Inductor to JIT-compile models. Automatic optimizations. 2x speedup on many workloads.
PyTorch's JIT compiler.
TorchScript creates serializable and optimizable representations of PyTorch models.
TorchScript compiles PyTorch to graph. Trace or script. Enables deployment without Python.
TorchServe serves PyTorch models. Production deployment.
Total cost of ownership includes purchase price plus logistics inventory quality and risk costs.
Total jitter combines random and deterministic components at specified bit error rate.
Holistic maintenance approach.
Surface metal contamination.
Maximum thickness difference on wafer.
Touchdown detection senses when probe tips contact wafer surface through sudden resistance or capacitance change.
Separate exhaust for toxic or flammable gases.
Toxicity bias occurs when models generate more toxic content for certain groups.
Model trained to detect harmful language.
Identify toxic content.
Toxicity detection identifies offensive abusive or hateful language in text.
Classify text for hate speech offensive language or harmful content.
Remove harmful content.
Predict toxic effects of compounds.
Total Productive Maintenance maximizes equipment effectiveness through operator involvement and proactive maintenance.
Google's custom ASIC for ML workloads.
TPUs are Google custom chips for ML. Available on GCP. Optimized for large batch training and inference.
Examine execution timeline.