L (29 terms)

Lagrangian Converts constrained problem to unconstrained form. Intermediate Language Model A model that assigns probabilities to sequences of tokens; often trained by next-token prediction. Intermediate Large Language Model A high-capacity language model trained on massive corpora, exhibiting broad generalization and emergent behaviors. Intermediate Latency Time from request to response; critical for real-time inference and UX. Intermediate Latency SLA Guaranteed response times. Intermediate Latent Diffusion Diffusion performed in latent space for efficiency. Advanced Latent Dynamics Modeling environment evolution in latent space. Frontier Latent Space The internal space where learned representations live; operations here often correlate with semantics or generative f... Intermediate Law of Large Numbers Sample mean converges to expected value. Advanced Learning Rate Controls the size of parameter updates; too high diverges, too low trains slowly or gets stuck. Intermediate Learning Rate Schedule Adjusting learning rate over training to improve convergence. Intermediate Legal AI AI supporting legal research, drafting, and analysis. Intermediate Legal Hold Requirement to preserve relevant data. Intermediate Lifelong Learning Learning without catastrophic forgetting. Advanced Likelihood Function Probability of data given parameters. Advanced LIME Local surrogate explanation method approximating model behavior near a specific input. Intermediate Line Search Choosing step size along gradient direction. Intermediate Linear Algebra Mathematical foundation for ML involving vector spaces, matrices, and linear transformations. Advanced Linear Quadratic Regulator Optimal control for linear systems with quadratic cost. Intermediate Liquidity Provision Supplying buy/sell orders. Advanced Local Minimum Minimum relative to nearby points. Intermediate Localization Estimating robot position within a map. Advanced Log Loss Penalizes confident wrong predictions heavily; standard for classification and language modeling. Intermediate Logits Raw model outputs before converting to probabilities; manipulated during decoding and calibration. Intermediate LoRA PEFT method injecting trainable low-rank matrices into layers, enabling efficient fine-tuning. Intermediate Loss Function A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization. Intermediate Loss Landscape The shape of the loss function over parameter space. Intermediate LSTM An RNN variant using gates to mitigate vanishing gradients and capture longer context. Intermediate Lyapunov Stability Stability proven via monotonic decrease of Lyapunov function. Intermediate