Home/Library/MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringFoundationsMLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringDetailsPublisherarXivDomainResearch & LearningCategoryFoundationsType GroupResearch & PapersTypePaperBest ForAllSkill LevelBeginnerAccessFreeTopicAgentic AI foundationsRelated in FoundationsThe Evolution From Prompt Engineering to Concept EngineeringNate Rosidi (KDNuggets)Engineering Is Not CodingRajesh GundugolluTransformer Explainer: LLM Transformer Model Visually ExplainedAeree Cho, Grace C. Kim, Alexander Karpekov et al. (Georgia Tech)The Prompt Report: A Systematic Survey of Prompting Techniques (arXiv:2406.06608)Schulhoff et al.Prompt Engineering Basics | dair-ai/Prompt-Engineering-Guide | DeepWikiDeepwikiPrompt-Engineering-Guide/guides/prompts-intro.md at main · dair-ai/Prompt-Engineering-GuideGitHubOpen ResourceSave to pathBack to library