O narzędziu
Weights & Biases — ML i LLM platform. Free Personal (5 Model seats, 5GB storage, 1GB Weave ingestion/mies.). Pro $50/mies. — early-stage teams, <50 employees: CI/CD integrations, Slack/email alerts, unlimited collaborators, RBAC, priority support. Enterprise custom ($315-$400/seat/mies.). Weave (LLM observability), W&B Inference, additional storage $0.03/GB.
Zastosowanie
- •Experiment tracking dla ML models.
- •LLM observability i evaluations (Weave).
- •Hyperparameter sweeps + model registry.
- •Team collaboration nad ML projects.
- •Production model monitoring + drift detection.
Funkcje główne
- •W&B Models — experiment tracking, hyperparameter sweeps, model registry.
- •W&B Weave — LLM observability, evaluations, prompts.
- •W&B Inference — managed inference.
- •Reports — interaktywne sharing wyników.
- •Artifacts — versioning datasets/models.
Funkcje dodatkowe
▶W&B Models
Build and manage AI models — kompleksowe narzedzie do treningu, fine-tuningu i deployowania modeli ML. Najsilniejszy w branzy experiment tracking, foundation dla nowoczesnego MLOps.
▶W&B Weave (LLM observability)
Platforma do iteracji, oceny i monitorowania systemow agentic i LLM apps. W&B Weave = LLM-focused fork z Models, z evaluations, prompt management i agentic workflow tracing.
▶W&B Inference
Managed inference — dostep do hostowanych modeli AI, w tym OpenAI, Meta Llama i DeepSeek. Eliminuje koniecznosc samodzielnego hostowania modeli, integrujac wszystko w W&B ecosystem.
▶Experiment Tracking
Track and visualize experiments — sledzenie i wizualizacja eksperymentow badawczych. Loss curves, accuracy metrics, learning rate schedules — wszystko w real-time dashboardach.
▶Hyperparameter Sweeps
Automatyczna optymalizacja hyperparametrow modeli — grid search, random search, Bayesian optimization. Dramatically reduces time-to-best-model vs manual tuning.
▶Registry (Model & Dataset)
Publish and share AI models and datasets — centralny rejestr z versioning, access control i lineage tracking. Single source of truth dla model artifacts w organizacji.
▶Reports
Document and share AI insights — interaktywne raporty mieszajace kod, wykresy, narracje i dashboards. Idealne do prezentacji wynikow ML eksperymentow management'owi i klientom.
▶Tables
Visualize and explore data — interactive data exploration z filtering, sorting, grouping. Krytyczne do analizy datasetow, model predictions i error analysis.
▶Automations
Trigger workflows automatically — automatyczne uruchamianie pipelines, evaluations i deployments po triggers (model checkpoint, metric threshold). MLOps automation jako wbudowany feature.
▶SDK + ML Framework Integrations
Python SDK z natywnymi integracjami: PyTorch, TensorFlow, JAX, Hugging Face Transformers, scikit-learn. Log eksperymentow przez jeden dekorator, bez modyfikacji core kodu treningowego.
✓ Zalety
Cennik
- •Free Personal: $0 (5 Model seats, 5GB storage, 1GB Weave/mies.).
- •Pro: od $50/user/mies.
- •(early-stage <50 employees, CI/CD, Slack/email alerts, unlimited collaborators, RBAC, priority support).
- •Enterprise: custom ($315-$400/seat/mies.) — SSO, advanced compliance, dedicated support.
- •Storage: $0.03/GB additional.
- •Weave/Inference billed monthly arrears.
API i integracje
- •Python SDK.
- •PyTorch, TensorFlow, JAX, Hugging Face integracje.
- •Native CI/CD (GitHub Actions).
- •Slack/email alerts.
- •RBAC.