Locally runnable models as described in the Weave documentation here: https://weave-docs.wandb.ai/guides/evaluation/weave_local_scorers
Weights and Biases
company
Verified
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Weights & Biases is the AI developer platform that empowers teams to build, evaluate, and deploy generative AI applications with confidence.
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Log and debug language model inputs, outputs, and traces.
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Experiment Tracking: Monitor and visualize all aspects of your ML experiments in real-time.
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Weights & Biases is the AI developer platform that empowers teams to build, evaluate, and deploy generative AI applications with confidence.
From model training to LLM application development, W&B provides tools for tracking, experimentation, evaluation, and monitoring—ensuring reproducibility and performance at every stage.
Get started with W&B today, sign up for a free account
Build AI Applications with W&B Weave
W&B Weave is a lightweight toolkit designed for developing and productionizing LLM-powered applications. It enables developers to:
Log and debug language model inputs, outputs, and traces.
Build rigorous evaluations for language model use cases.
Organize information across the LLM workflow, from experimentation to production.
With Weave, you can iterate faster, deploy with confidence, and maintain high-quality AI applications.
Build and Manage Models with W&B Models
W&B Models is your central hub for developing, fine-tuning, and managing machine learning models. It provides tools to track experiments, optimize hyperparameters, and version models, ensuring seamless collaboration and reproducibility across your ML workflows.
Key Features:
Experiment Tracking: Monitor and visualize all aspects of your ML experiments in real-time.
Hyperparameter Optimization: Leverage W&B Sweeps to efficiently search and fine-tune model parameters.
Model Registry: Maintain a centralized repository for all your models, facilitating easy access and deployment.
Automations: Set up custom workflows to automate model training, evaluation, and deployment processes.
Integrate W&B Models into your existing ML pipeline to enhance productivity, collaboration, and model performance.
Learn with W&B
🎓 W&B is free for students, educators, and academic researchers. For more information, visit https://wandb.ai/site/research.
🎓 The W&B AI Academy offers free hands-on courses and tutorials featuring instructors from OpenAI, Google, All Hands and more to help you use foundation models and agents in your AI applications, implement MLOps and LLMOps solutions and much more with MLOps and LLM courses
Get started with W&B today, sign up for one of our plans, or contact our Sales Team
models
24
wandb/TinyTestWeaveBiasScorerV1
8.29M
•
Updated
wandb/WeaveFluencyScorerV1
Text Classification
•
0.1B
•
Updated
•
22
wandb/WeaveCoherenceScorerV1
0.1B
•
Updated
•
21
wandb/WeaveContextRelevanceScorerV1
Token Classification
•
0.2B
•
Updated
•
4
wandb/WeaveHallucinationScorerV1
0.1B
•
Updated
•
13
wandb/WeaveBiasScorerV1
0.1B
•
Updated
•
3
wandb/WeaveToxicityScorerV1
Text Classification
•
0.1B
•
Updated
•
4
wandb/deberta-base-relevance
Feature Extraction
•
0.2B
•
Updated
•
1
wandb/deberta-small-relevance
Feature Extraction
•
0.1B
•
Updated
•
4
wandb/sourcecode-detection
Text Classification
•
83.5M
•
Updated
•
8
datasets
8
wandb/ragbench-test-sample
Viewer
•
Updated
•
957
•
4
wandb/ragbench-sentence-relevance-balanced
Viewer
•
Updated
•
624k
•
1.75k
•
1
wandb/finqa-data-processed-hallucination
Viewer
•
Updated
•
16.6k
•
12.9k
wandb/finqa-data-processed
Viewer
•
Updated
•
8.28k
•
5.74k
•
2
wandb/fava-data-processed
Viewer
•
Updated
•
460
•
7
wandb/RAGTruth-processed
Viewer
•
Updated
•
17.8k
•
911
•
15
wandb/weave_cookbook_datasets
Updated
•
1
wandb/deita-10k-v0-sft-latin
Viewer
•
Updated
•
18k
•
13
•
1