LLM technology graph
Comment LLM se rattache au reste de la pile IA. Cliquez sur un nœud pour parcourir le graphe, ou ouvrez la page de la technologie pour le détail.
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Types de relation
- technical
- alternative
- integration
- evolution
- application
- classification
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Toutes les relations
Utilise et dépend de
- Tokenization technique Techniques LLM uses Tokenization High ✓ source
- Chatbot application Applications Chatbot based on LLM High ✓ source
- Claude model Models Claude based on LLM Medium ✓ source
- Code Generation application Applications Code Generation based on LLM High ✓ source
- Few-Shot Learning technique Prompting Few-Shot Learning based on LLM High ✓ source
- Gemini model Models Gemini based on LLM Medium ✓ source
- In-Context Learning concept Prompting In-Context Learning based on LLM High ✓ source
- LLaVA model Multimodal LLaVA based on LLM High ✓ source
- Multi-Agent technique AI Agents Multi-Agent based on LLM High ✓ source
- Query Rewriting technique Techniques Query Rewriting based on LLM High ✓ source
- Transformer architecture Algorithms LLM based on Transformer High ✓ source
- Zero-Shot concept Prompting Zero-Shot based on LLM High ✓ source
Utilisé par
- AI Agent application AI Agents LLM used by AI Agent High ✓ source
- GraphRAG technique Techniques LLM used by GraphRAG High ✓ source
- RAG technique Techniques LLM used by RAG High ✓ source
Appliqué à
- Alignment technique Safety & Alignment Alignment used for LLM High ✓ source
- B200 hardware Hardware B200 used for LLM High ✓ source
- Beam Search technique Techniques Beam Search used for LLM High ✓ source
- Distillation technique Techniques Distillation used for LLM Medium ✓ source
- GPQA benchmark Benchmarks GPQA used for LLM High ✓ source
- GSM8K benchmark Benchmarks GSM8K used for LLM High ✓ source
- H100 hardware Hardware H100 used for LLM High ✓ source
- H200 hardware Hardware H200 used for LLM High ✓ source
- HellaSwag benchmark Benchmarks HellaSwag used for LLM High ✓ source
- HumanEval benchmark Benchmarks HumanEval used for LLM High ✓ source
- KV Cache technique Infrastructure KV Cache used for LLM High ✓ source
- LMArena benchmark Benchmarks LMArena used for LLM High ✓ source
- MMLU benchmark Benchmarks MMLU used for LLM High ✓ source
- MT-Bench benchmark Benchmarks MT-Bench used for LLM High ✓ source
- MoE architecture Algorithms MoE used for LLM High ✓ source
- Pretraining technique Techniques Pretraining used for LLM High ✓ source
- Prompt Engineering technique Prompting Prompt Engineering used for LLM High ✓ source
- Quantization technique Techniques Quantization used for LLM High ✓ source
- SQuAD dataset Datasets SQuAD used for LLM High ✓ source
- Softmax concept Algorithms Softmax used for LLM High ✓ source
- TPU hardware Hardware TPU used for LLM High ✓ source
- Temperature technique Techniques Temperature used for LLM High ✓ source
- TensorRT-LLM tool Infrastructure TensorRT-LLM used for LLM Medium ✓ source
- The Pile dataset Datasets The Pile used for LLM High ✓ source
- Tokenizer tool Infrastructure Tokenizer used for LLM High ✓ source
- Top-p Sampling technique Techniques Top-p Sampling used for LLM High ✓ source
- vLLM tool Infrastructure vLLM used for LLM High ✓ source
- Transformer architecture Algorithms Transformer enables LLM High ✓ source
Classification
- Context Window concept Models Context Window part of LLM Medium ✓ source
- Hallucination concept Models Hallucination part of LLM High ✓ source
- Inference concept Infrastructure Inference part of LLM High ✓ source
- Logits concept Models Logits part of LLM High ✓ source
- Token concept Models Token part of LLM High ✓ source
- Tokenizer tool Infrastructure Tokenizer part of LLM High ✓ source