The AI Accelerator for NLP and Large Language Models (LLMs)
Infuse domain expertise and control the training process of your models with the world's fastest automated data-centric workflow. Watchful makes it easy to develop and fine-tune AI systems by focusing on the most critical part: The Data.
Data-centric companies infuse their domain knowledge into their NLP, LLMs and foundational ML models using Watchful, accelerating AI development at a speed and scale that would be impossible with legacy model training solutions.
“Watchful makes it easy to have full control and confidence over labeling large datasets in a new, systematic way.”
Develop, Fine-Tune and Accelerate Your AI
Use Watchful to holistically explore, classify, annotate and validate the unique datasets that power today’s AI initiatives and business processes.
Watchful’s Data-Centric Approach:
From LLMs to Any Text-Based Dataset
Prompt Engineering and Fine Tuning Foundation Models
• Create robust LLM-enabled systems without the headaches of building one large and brittle prompt by "braiding" together multiple prompts within Watchful
• Combine the outputs of multiple prompts and other sources of information (e.g., dictionaries, keywords, other models)
• Let Watchful guide you to the optimal point of deciding between prompting and fine-tuning
Not using LLMs? No problem.
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• Watchful makes it easy for anyone to annotate and enrich datasets
• Rapidly slice-and-dice your data with real-time results and feedback
• AI-assisted development helps you automatically improve the quality of your data, guiding you to identify and correct errors
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Built for LLMs from the Ground Up
Place your “Experts-in-the-Loop” from the start of your dataset development.
Search by characteristics of the data, either inherent or latent/semantic.
Let Watchful recommend your next actions to automatically improve your labels by introducing new weak signals, or focusing your attention on particularly important parts of the data.
Control the Training Process, Your Way
Self-hosted docker images makes it easy to run Watchful wherever you need to.
Integrate with your existing MLOps system or workflows.
Automate and scale pipelines using Watchful’s SDK.
From Interactive Workflows to Expected Outputs
Let Watchful guide you through your dataset with ML-assisted feedback and error analysis.
Get feedback in real-time to drive insights and capture impactful features and domain knowledge.
Quickly iterate to improve your data quality through interactive visualizations and real-time feedback.
Hand Labeling Considered Harmful
Labeling training data is the one step in the data pipeline that has resisted automation, and evolution. It’s time to change that.
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Accelerate AI with Watchful
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