Обзор
Просматривайте все технологии графа по типу и категории.
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- Алгоритмы 30
- Модели 16
- Модели эмбеддингов 8
- Методы 35
- Промптинг 10
- Фреймворки 12
- Фреймворки LLM 6
- Базы данных 3
- Векторные базы данных 8
- Поисковые движки 4
- Инфраструктура 15
- MLOps 4
- Оценка 6
- Оборудование 11
- Безопасность и выравнивание 6
- Приложения 7
- Мультимодальные 5
- ИИ-агенты 4
- Бенчмарки 11
- Наборы данных 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.