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Explore todas as tecnologias do grafo por tipo e categoria.
Por tipo
Por categoria
- Algoritmos 30
- Modelos 16
- Modelos de embedding 8
- Técnicas 35
- Prompting 10
- Frameworks 12
- Frameworks de LLM 6
- Bancos de dados 3
- Bancos de dados vetoriais 8
- Mecanismos de busca 4
- Infraestrutura 15
- MLOps 4
- Avaliação 6
- Hardware 11
- Segurança e alinhamento 6
- Aplicações 7
- Multimodal 5
- Agentes de IA 4
- Benchmarks 11
- Conjuntos de dados 7
13 technologies shown
- vLLM tool High-throughput inference server built around paged attention and continuous batching.
- Ollama tool Runs open-weight models locally behind a simple command and HTTP API.
- Tokenizer tool Component that converts text to tokens and back.
- LM Evaluation Harness tool Standard harness for running language model benchmarks.
- llama.cpp tool CPU-first inference for quantised models, in portable C++.
- Weights & Biases tool Experiment tracking and visualisation for training runs.
- MLflow tool Open platform for tracking experiments and managing model lifecycle.
- SGLang tool Serving engine built around reusing shared prompt prefixes.
- Triton Inference Server tool NVIDIA's server for deploying models from several frameworks behind one API.
- TensorRT-LLM tool NVIDIA's compiler and runtime for optimised LLM inference on its GPUs.
- Text Generation Inference tool Hugging Face's serving stack for transformer models.
- Ragas tool Evaluation library that scores retrieval and answer quality separately.
- LangSmith tool Tracing and evaluation for model applications, showing each step of a run.