Results for “learning-rate-scheduling”
24 skills
jiachen-t-wang curriculum-learning-crossref-icml-2009-curriculum
Curriculum Learning
6
matrixx0070 edu-study-plan
Build a personalized study plan with spaced-repetition scheduling toward a deadline and goal.
0
github qdrant-minimize-latency
Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.
36.2k
jarbitechture learn
Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI, or organizational. Triggers on /learn, /compound, /improve, /refine, /optimize, /assess, /reflect, "lessons learned", "best practices", "continuous improvement". Preserves Κ-monotonicity, η≥4, homoiconicity.
0 · bundle
jiachen-t-wang scaling-instruction-finetuned-language-models-arxiv-2210-114
Scaling Instruction-Finetuned Language Models
6
dracounion learn-by-building
当需要高效掌握新技能并将知识转化为实际成果，避免“纸上谈兵”时
11 · bundle
jiachen-t-wang scaling-data-constrained-language-models-arxiv-2305-16264v3
Scaling Data-Constrained Language Models
6
curiositech alphago-deep-rl
Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system
10 · bundle
dracounion self-as-project-system
当需要将个人学习、成长与价值创造整合为一个持续发展的系统时
11 · bundle
winbda reading-plan
Design reading plans with retention strategies. TRIGGERS - Use when user needs help with reading-plan related tasks.
3
phuryn sprint-plan
Plan a sprint by estimating team capacity, selecting and sequencing stories, and identifying risks.
22.6k
dracounion channel-entry-strategy
当在个人发展的某个领域（心智、身体、精神、职业）达到“失调阶段”（即对现状感到厌倦、停滞或不满，但尚未麻木）时，用于主动进入一个能加速学习和成长的“心流”或“痴迷”状态（即“渠道”）
11 · bundle
jiachen-t-wang autoaugment-learning-augmentation-strategies-from-data-arxiv
AutoAugment: Learning Augmentation Strategies from Data
6
jiachen-t-wang training-compute-optimal-large-language-models-arxiv-2203-15
Training Compute-Optimal Large Language Models
6
jiachen-t-wang llava-next-improved-reasoning-ocr-and-world-knowledge-arxiv-
LLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge
6
smith6jt-cop differential-sharpe-ratio
Use when implementing risk-adjusted rewards, discussing Sharpe ratio in RL training, or tuning reward components for risk awareness
3
jiachen-t-wang svit-scaling-up-visual-instruction-tuning-arxiv-2307-04087v2
SVIT: Scaling up Visual Instruction Tuning
6
dracounion project-based-learning
当需要快速掌握一门新技能或知识领域，且希望通过实践而非单纯理论学习时
11 · bundle
dracounion flow-state-activation
当需要进入高度专注、高效且愉悦的工作或学习状态时
11 · bundle
shenxingy learn
Record, search, and prune per-project learnings in .claude/learnings.jsonl — typed, confidence-scored, searchable across sessions
8 · bundle
a5c-ai self-optimization
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
1.7k · bundle
dracounion learn-by-teaching
当需要深化对某个主题的理解、检验知识掌握程度或克服“冒名顶替综合征”时
11 · bundle
dracounion combat-mode-strategy
当需要在2-3个月内集中精力攻克一个重大、有挑战性的个人或职业目标时，使用此模型
11 · bundle
jiachen-t-wang el2n-deep-learning-on-a-data-diet-arxiv-2107-07075v2
EL2N: Deep Learning on a Data Diet
6