Results for “learning-methods”
15 skills
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vvieira010-pixel Study Strategy Selector
Select evidence-based study strategies matched to material type, learning goal, and student habits. Use when advising students on revision techniques, homework, or independent study approaches.
0
vvieira010-pixel Self Explanation Prompt Designer
Create self-explanation prompts that deepen understanding of worked examples, texts, or diagrams. Use when students read material passively without engaging with underlying principles.
0
orchestra-research Speculative Decoding
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques for 1.5-3.6× speedup without quality loss.
10.4k · bundle
projectious-work AI Fundamentals
Explain and apply core ML/AI concepts — model types, training pipelines, evaluation metrics, and neural architectures.
0 · bundle
jiachen-t-wang Dolphins Multimodal Language Model For Driving Arxiv 2312 00
Dolphins: Multimodal Language Model for Driving
6
orchestra-research Knowledge Distillation
Compress large language models using knowledge distillation from teacher to student models, covering temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
10.4k · bundle
vvieira010-pixel Worked Example Fading Designer
Design a worked example fading sequence from fully worked examples through to independent practice. Use when teaching procedures, algorithms, or multi-step processes to novice learners.
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vvieira010-pixel Digital Worked Example Sequence
Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.
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vvieira010-pixel Learning Target Authoring Guide
Author learning targets for a competency across developmental bands with precise, observable progression language. Use when writing 'I can' statements for competency-based programmes.
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akillness Autoresearch
Run Karpathy-style autonomous ML search on a real training repo: choose the right mode (setup, program.md, bounded loop, results interpretation, or constrained-hardware adaptation), preserve the immutable prepare.py / 300-second / val_bpb contract, and route prompt/skill eval work away to LangSmith, Promptfoo, Braintrust, or skill-autoresearch.
42 · bundle
majiayu000 AI Ml Technologies
Covers AI, machine learning, LLMs, prompt engineering, and blockchain development with code examples and best practices for building AI applications and smart contracts.
567 · bundle
vvieira010-pixel Fading Manager
Track performance across sessions and reduce scaffolding as competence grows. Makes fading visible — the learner knows when scaffolds are removed and why. Use for sustained learning engagement where independence is the goal.
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jiachen-t-wang Alpaca A Strong Replicable Instruction Following Model Stanf
Alpaca: A Strong, Replicable Instruction-Following Model
6
brycewang-stanford Ml Causal
Econometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"
1k · bundle