Large Language Models
Very large transformer-based models trained on broad corpora to generate, summarize, translate, reason over, and transform language and code.
Core metadata
- ID: large_language_models
- Era: Modern
- First known date: 2017 (decade)
- Region: Global / multiple regions
- Review status: source_checked
- Maturity: established
Prerequisites
- Big Data Analytics & Computational Statistics (big_data_analytics_computational_statistics)
- Data Centers (Early) (data_centers_early)
- Transformer Architectures (transformer_architectures)
Dependents
- AI Model Auditing (ai_model_auditing)
- AI Personal Tutoring Companions (ai_personal_tutoring_companions)
- Robust Explainable AI (XAI) (explainable_ai_xai)
- Foundation Model Operating Systems (foundation_model_operating_systems)
- Instruction Tuning & RLHF (instruction_tuning_rlhf)
- Model Evaluation Benchmarks (model_evaluation_benchmarks)
- Multimodal Contrastive Learning (multimodal_contrastive_learning)
- Personal AI Tutors (personal_ai_tutors)
- Prompt Engineering & System Prompts (prompt_engineering_system_prompts)
- Retrieval-Augmented Generation (retrieval_augmented_generation)
- Synthetic Data Factories (synthetic_data_factories)
- Tool-Using Language Models (tool_using_language_models)
Fields
Field lanes
- Artificial Intelligence & Machine Learning: Foundation Models
Node sources
- Language Models are Few-Shot Learners (arXiv, 2020, primary_paper) • Supports: node, maturity
- Attention Is All You Need (NeurIPS, 2017, primary_paper) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 3
- Average edge confidence: 70%
- Prerequisite sources: 3
- expert_inference: 3
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Transformer Architectures (transformer_architectures) | enabling | 68% | expert_inference | Transformer Architectures provides a capability that enables this technology without being the only possible path. |
|
| Data Centers (Early) (data_centers_early) | historical_predecessor | 75% | expert_inference | Data Centers (Early) is an earlier historical predecessor or foundation, not a one-to-one engineering dependency. |
|
| Big Data Analytics & Computational Statistics (big_data_analytics_computational_statistics) | enabling | 68% | expert_inference | Big Data Analytics & Computational Statistics provides a capability that enables this technology without being the only possible path. |
|
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